{
  "capped": false,
  "live": 968,
  "meta": 986,
  "kernels": [
    {
      "ref": "aarthyshree0506/notebookc8e7938b2e",
      "title": "notebookc8e7938b2e",
      "source": "live",
      "kernel_id": "129351816"
    },
    {
      "ref": "louis327/midas-summer-hms-eeg-xgboost",
      "title": "midas-summer-hms-eeg-xgboost",
      "source": "live",
      "kernel_id": "129187884"
    },
    {
      "ref": "xiaosufrankhu/midas-summer-hms-eeg-eda",
      "title": "midas-summer-hms-eeg-eda",
      "source": "live",
      "kernel_id": "126982341"
    },
    {
      "ref": "xiaosufrankhu/midas-summer-hms-eeg-xgboost",
      "title": "midas-summer-hms-eeg-xgboost",
      "source": "live",
      "kernel_id": "126980770"
    },
    {
      "ref": "xiaosufrankhu/midas-summer-hms-eeg-1d-cnn-eegnet",
      "title": "midas-summer-hms-eeg-1d-cnn-eegnet",
      "source": "live",
      "kernel_id": "126978241"
    },
    {
      "ref": "xiaosufrankhu/midas-summer-hms-eeg-2d-cnn",
      "title": "midas-summer-hms-eeg-2d-cnn",
      "source": "live",
      "kernel_id": "126712713"
    },
    {
      "ref": "ariztahoor/hms-research-paper",
      "title": "HMS_RESEARCH_PAPER",
      "source": "live",
      "kernel_id": "125432492"
    },
    {
      "ref": "jarodkelly/hms-notebook",
      "title": "hms-notebook",
      "source": "live",
      "kernel_id": "117591761"
    },
    {
      "ref": "kornievaolga/notebook08a8467fdc",
      "title": "notebook08a8467fdc",
      "source": "live",
      "kernel_id": "117358099"
    },
    {
      "ref": "laiclement/notebook647e4ed9e6",
      "title": "notebook647e4ed9e6",
      "source": "live",
      "kernel_id": "116991741"
    },
    {
      "ref": "olgakornieva/audioml-olgakornieva-additionaltask",
      "title": "audioML-OlgaKornieva-additionaltask",
      "source": "live",
      "kernel_id": "116850584"
    },
    {
      "ref": "olgakornieva/kaggle-hms-olga",
      "title": "kaggle_hms_Olga",
      "source": "live",
      "kernel_id": "116838397"
    },
    {
      "ref": "wahidhaji/hms-efficientnetv2",
      "title": "hms_efficientnetv2",
      "source": "live",
      "kernel_id": "116431337"
    },
    {
      "ref": "whdhdyt/hms-efficientnetv2",
      "title": "hms_efficientnetv2",
      "source": "live",
      "kernel_id": "116223612"
    },
    {
      "ref": "olgakornieva/hms-hbac-baseline",
      "title": "hms_hbac_baseline",
      "source": "live",
      "kernel_id": "116096620"
    },
    {
      "ref": "prithwiserver/notebookd7bd490507",
      "title": "notebookd7bd490507",
      "source": "live",
      "kernel_id": "115166050"
    },
    {
      "ref": "ashok2000singh/hms-overview",
      "title": "HMS Overview",
      "source": "live",
      "kernel_id": "114774180"
    },
    {
      "ref": "prithwiserver/hms-dataexplore-cnn",
      "title": "HMS_DataExplore_cnn",
      "source": "live",
      "kernel_id": "114394814"
    },
    {
      "ref": "borisenkogeorgiy/seminar",
      "title": "Seminar \"Обработка сигналов\"",
      "source": "live",
      "kernel_id": "111404835"
    },
    {
      "ref": "aligad2/eeg-model",
      "title": "EEG_Model",
      "source": "live",
      "kernel_id": "110335292"
    },
    {
      "ref": "enderonat/notebook7296c30396",
      "title": "notebook7296c30396",
      "source": "live",
      "kernel_id": "109717587"
    },
    {
      "ref": "coderiderai/hms-adacore-logic-based",
      "title": "HMS – AdaCore Logic Based",
      "source": "live",
      "kernel_id": "108552854"
    },
    {
      "ref": "bigrem/waveletanalysisoneeg",
      "title": "WaveletAnalysisOnEEG",
      "source": "live",
      "kernel_id": "105364970"
    },
    {
      "ref": "samahmud30/cse-527-tcn-model-1",
      "title": "cse-527-tcn-model (1)",
      "source": "live",
      "kernel_id": "104992125"
    },
    {
      "ref": "samahmud30/cse-527-tcn-model",
      "title": "CSE 527 TCN MODEL",
      "source": "live",
      "kernel_id": "104966493"
    },
    {
      "ref": "samahmud30/cse-527-gcn-model",
      "title": "CSE 527 GCN MODEL",
      "source": "live",
      "kernel_id": "104952369"
    },
    {
      "ref": "samahmud30/cse-527-eeg-transformer-model",
      "title": "CSE 527 EEG Transformer MODEL",
      "source": "live",
      "kernel_id": "104941997"
    },
    {
      "ref": "samahmud30/cse-527-xgboost-model",
      "title": "CSE 527 XGBOOST Model",
      "source": "live",
      "kernel_id": "104937232"
    },
    {
      "ref": "joaoguiz/eeg-tcc",
      "title": "EEG: TCC",
      "source": "live",
      "kernel_id": "98041801"
    },
    {
      "ref": "enderonat/2d-3d-spectrograms",
      "title": "2D 3D Spectrograms",
      "source": "live",
      "kernel_id": "96103677"
    },
    {
      "ref": "enderonat/veriyi-resim-haline-getirme",
      "title": "Veriyi Resim Haline Getirme",
      "source": "live",
      "kernel_id": "95492072"
    },
    {
      "ref": "bilalhaider639/thesis-notebook",
      "title": "Thesis Notebook",
      "source": "live",
      "kernel_id": "93744923"
    },
    {
      "ref": "jonassalaheldin/deep-learning-project",
      "title": "Deep Learning Project",
      "source": "live",
      "kernel_id": "92232688"
    },
    {
      "ref": "sudipchakrabarty/hms-harmful-brain-activity-classsification",
      "title": "HMS - Harmful Brain Activity Classsification",
      "source": "live",
      "kernel_id": "89689045"
    },
    {
      "ref": "kunshsabharwal/explainable-ai",
      "title": "Explainable AI",
      "source": "live",
      "kernel_id": "88656821"
    },
    {
      "ref": "kunshsabharwal/explainable-ai-on-retnet",
      "title": "Explainable AI on RetNet",
      "source": "live",
      "kernel_id": "88587927"
    },
    {
      "ref": "umerellous/harmful-brain-activity-classification",
      "title": "harmful-brain-activity-classification",
      "source": "live",
      "kernel_id": "88436490"
    },
    {
      "ref": "gauripatil2299/hms-harmful-brain-activity-classification",
      "title": "HMS - Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "87104158"
    },
    {
      "ref": "kungsuk/hms-cnn-final",
      "title": "HMS-CNN-Final",
      "source": "live",
      "kernel_id": "86950813"
    },
    {
      "ref": "kungsuk/hms-lstm-final",
      "title": "HMS-LSTM-Final",
      "source": "live",
      "kernel_id": "86888824"
    },
    {
      "ref": "kungsuk/hms-jagan-2",
      "title": "HMS-jagan-2",
      "source": "live",
      "kernel_id": "86880705"
    },
    {
      "ref": "joaoguiz/notebook8dec934f32",
      "title": "notebook8dec934f32",
      "source": "live",
      "kernel_id": "85855254"
    },
    {
      "ref": "jagan999/hms-jagan",
      "title": "HMS-jagan",
      "source": "live",
      "kernel_id": "85815427"
    },
    {
      "ref": "sunyuri/hms-vipeegnet",
      "title": "HMS-VIPEEGNet",
      "source": "live",
      "kernel_id": "85602456"
    },
    {
      "ref": "mohamedalaaelsayad/eeg-model-n",
      "title": "EEG_Model_N",
      "source": "live",
      "kernel_id": "85201745"
    },
    {
      "ref": "ashok2000singh/hms-using-efficientnet-new",
      "title": "HMS using efficientNet New",
      "source": "live",
      "kernel_id": "85194025"
    },
    {
      "ref": "ezgigmtekin/biomedical-sp",
      "title": "BIOMEDICAL SP",
      "source": "live",
      "kernel_id": "85113249"
    },
    {
      "ref": "qqrchen/phys417",
      "title": "phys417",
      "source": "live",
      "kernel_id": "84632141"
    },
    {
      "ref": "vijaykumarbk/models-svm",
      "title": "Models_SVM",
      "source": "live",
      "kernel_id": "84192970"
    },
    {
      "ref": "wenzhedeng/hbac-wenzhe-deng-quanrui-chen-phys417",
      "title": "HBAC_Wenzhe_Deng__Quanrui_Chen_PHYS417 ",
      "source": "live",
      "kernel_id": "84166432"
    },
    {
      "ref": "ashoksingh5972/hms-resnet101-lr-v1-full-dataset",
      "title": "HMS_resnet101_LR_v1_full_dataset",
      "source": "live",
      "kernel_id": "84131648"
    },
    {
      "ref": "madhumitagayen/protonet-1",
      "title": "ProtoNet_1",
      "source": "live",
      "kernel_id": "84054494"
    },
    {
      "ref": "shunsukekikuchi/resnet-submit",
      "title": "resnet_submit",
      "source": "live",
      "kernel_id": "84031052"
    },
    {
      "ref": "vijaykumarbk/lstm-rnn",
      "title": "Lstm_Rnn",
      "source": "live",
      "kernel_id": "83877916"
    },
    {
      "ref": "shreyasbharadwajhi/final-cnn",
      "title": "FINAL-CNN",
      "source": "live",
      "kernel_id": "83812695"
    },
    {
      "ref": "sankalp234/svm-code",
      "title": "SVM_CODE",
      "source": "live",
      "kernel_id": "83808698"
    },
    {
      "ref": "sankalp234/models",
      "title": "Models",
      "source": "live",
      "kernel_id": "83707732"
    },
    {
      "ref": "shunsukekikuchi/1d-inference",
      "title": "1D-inference",
      "source": "live",
      "kernel_id": "83630942"
    },
    {
      "ref": "vijaykumarbk/preprocessing-e47482",
      "title": "Preprocessing e47482",
      "source": "live",
      "kernel_id": "83471037"
    },
    {
      "ref": "sankalp234/random-forest",
      "title": "Random_Forest",
      "source": "live",
      "kernel_id": "83376179"
    },
    {
      "ref": "vijaykumarbk/svm-model-new",
      "title": "SVM(MODEL NEW)",
      "source": "live",
      "kernel_id": "83364082"
    },
    {
      "ref": "madhumitagayen/protonet",
      "title": "ProtoNet",
      "source": "live",
      "kernel_id": "83240946"
    },
    {
      "ref": "madhumitagayen/prototypicalnet",
      "title": "PrototypicalNet",
      "source": "live",
      "kernel_id": "82813613"
    },
    {
      "ref": "sadikulhaquesadi/efficientnetb2-hms-eeg",
      "title": "EfficientNetB2 HMS EEG",
      "source": "live",
      "kernel_id": "82804433"
    },
    {
      "ref": "vijaykumarbk/harmful-brain-activity-e74c28",
      "title": "Harmful Brain Activity  e74c28",
      "source": "live",
      "kernel_id": "82747418"
    },
    {
      "ref": "enderonat/vision-transformer",
      "title": "Vision Transformer",
      "source": "live",
      "kernel_id": "82676146"
    },
    {
      "ref": "madhumitagayen/gru-model",
      "title": "GRU_Model",
      "source": "live",
      "kernel_id": "82613267"
    },
    {
      "ref": "shunsukekikuchi/starter-notebook",
      "title": "Starter Notebook",
      "source": "live",
      "kernel_id": "82586819"
    },
    {
      "ref": "sadikul1500/eeg-3d-cnn-torch",
      "title": "EEG_3D_CNN_Torch",
      "source": "live",
      "kernel_id": "82345772"
    },
    {
      "ref": "enderonat/resnet-fine-tuning",
      "title": "Resnet + Fine Tuning",
      "source": "live",
      "kernel_id": "82279744"
    },
    {
      "ref": "enderonat/notebookf16bb65ad4",
      "title": "notebookf16bb65ad4",
      "source": "live",
      "kernel_id": "82016279"
    },
    {
      "ref": "alexisjohannson/final-t3-dain-code",
      "title": "Final T3 DAIN Code",
      "source": "live",
      "kernel_id": "81867751"
    },
    {
      "ref": "sadikul1500/hms-raw-eeg-cnn",
      "title": "HMS_RAW_EEG_CNN",
      "source": "live",
      "kernel_id": "81855889"
    },
    {
      "ref": "mrfrqa/resnetv2-v2",
      "title": "resnetv2 V2",
      "source": "live",
      "kernel_id": "81846183"
    },
    {
      "ref": "mrfrqa/inceptionresnet-v2",
      "title": "inceptionresnet V2",
      "source": "live",
      "kernel_id": "81846141"
    },
    {
      "ref": "alexisjohannson/final-fp1-dain-code",
      "title": "Final FP1 DAIN Code",
      "source": "live",
      "kernel_id": "81801497"
    },
    {
      "ref": "kunshsabharwal/efficientnet-eeg-code",
      "title": "EfficientNet EEG Code",
      "source": "live",
      "kernel_id": "81712346"
    },
    {
      "ref": "mrfrqa/inceptionresnet",
      "title": "inceptionresnet",
      "source": "live",
      "kernel_id": "81433385"
    },
    {
      "ref": "mrfrqa/resnetv2",
      "title": "resnetv2",
      "source": "live",
      "kernel_id": "81429455"
    },
    {
      "ref": "enderonat/densenet121",
      "title": "DenseNet121",
      "source": "live",
      "kernel_id": "81427143"
    },
    {
      "ref": "sankalp234/preprocessing",
      "title": "Preprocessing",
      "source": "live",
      "kernel_id": "81357649"
    },
    {
      "ref": "liutun/cnn-lstm",
      "title": "CNN-LSTM",
      "source": "live",
      "kernel_id": "81304890"
    },
    {
      "ref": "kunshsabharwal/vgg16-eeg-code",
      "title": "VGG16 EEG Code",
      "source": "live",
      "kernel_id": "81227530"
    },
    {
      "ref": "sadikul1500/hms-resnet",
      "title": "HMS Resnet",
      "source": "live",
      "kernel_id": "81189950"
    },
    {
      "ref": "apoteosechannel/s-o-m-eeg-harmonic-frame-viewer",
      "title": "S.O.M. – EEG: Harmonic Frame Viewer ",
      "source": "live",
      "kernel_id": "81076018"
    },
    {
      "ref": "madhumitagayen/mtp-effnetv2",
      "title": "MTP_EffNetV2",
      "source": "live",
      "kernel_id": "80908367"
    },
    {
      "ref": "calebchandrasekar/hms-hbac-kerascv-starter-notebook",
      "title": "HMS-HBAC: KerasCV Starter Notebook",
      "source": "live",
      "kernel_id": "80853585"
    },
    {
      "ref": "sadikul1500/hms-starter",
      "title": "HMS Starter",
      "source": "live",
      "kernel_id": "80818164"
    },
    {
      "ref": "lynx69/hms-hbac-kerascv-starter-notebook",
      "title": "HMS-HBAC: KerasCV Starter Notebook",
      "source": "live",
      "kernel_id": "80719557"
    },
    {
      "ref": "yadnyeshpatil4/hms-hbac-kerascv-starter-notebook",
      "title": "HMS-HBAC: KerasCV Starter Notebook",
      "source": "live",
      "kernel_id": "80708106"
    },
    {
      "ref": "deepak412/hms-dataexplore-cnn",
      "title": "HMS_DataExplore_cnn",
      "source": "live",
      "kernel_id": "80606096"
    },
    {
      "ref": "kunshsabharwal/transformer-code-for-eeg",
      "title": "Transformer Code for EEG",
      "source": "live",
      "kernel_id": "80500188"
    },
    {
      "ref": "gauravghatuary/brain-eeg-classification",
      "title": "Brain_EEG_Classification",
      "source": "live",
      "kernel_id": "80477762"
    },
    {
      "ref": "sadikul1500/efficientnetb2-starter-lb-0-57",
      "title": "EfficientNetB2 Starter - [LB 0.57]",
      "source": "live",
      "kernel_id": "80445416"
    },
    {
      "ref": "sairajesh6/vit-model",
      "title": "ViT model",
      "source": "live",
      "kernel_id": "80424543"
    },
    {
      "ref": "sairajeshvelagana/vit-model",
      "title": "ViT model",
      "source": "live",
      "kernel_id": "80408422"
    },
    {
      "ref": "oumiaoli/probabilistic-classification-of-epileptic-patterns",
      "title": "Probabilistic classification of Epileptic Patterns",
      "source": "live",
      "kernel_id": "80390642"
    },
    {
      "ref": "andreaslutz/harmful-brain-activity-classification",
      "title": "Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "80355480"
    },
    {
      "ref": "enderonat/test-2",
      "title": "test 2",
      "source": "live",
      "kernel_id": "80220120"
    },
    {
      "ref": "enderonat/daha-h-zl-olmas-beklenen-3d-model",
      "title": "daha hızlı olması beklenen 3d model",
      "source": "live",
      "kernel_id": "80219582"
    },
    {
      "ref": "enderonat/test-1",
      "title": "test 1",
      "source": "live",
      "kernel_id": "80091484"
    },
    {
      "ref": "enderonat/parametre-de-i-imli",
      "title": "Parametre Değişimli",
      "source": "live",
      "kernel_id": "80090654"
    },
    {
      "ref": "mrfrqa/3d-cnd-o",
      "title": "3D CND o -",
      "source": "live",
      "kernel_id": "80002159"
    },
    {
      "ref": "kunshsabharwal/retnet-eeg-code",
      "title": "RetNet EEG Code",
      "source": "live",
      "kernel_id": "79483073"
    },
    {
      "ref": "sankalp234/harmful-brain-activity",
      "title": "Harmful Brain Activity ",
      "source": "live",
      "kernel_id": "79302762"
    },
    {
      "ref": "m4ntyop/eeg-spectrogram",
      "title": "EEG & SPECTROGRAM",
      "source": "live",
      "kernel_id": "79250937"
    },
    {
      "ref": "talhaaaaaaaaaaaa/eegharmful",
      "title": "eegharmful",
      "source": "live",
      "kernel_id": "79206547"
    },
    {
      "ref": "ashoksingh5972/hms-vae-implementation",
      "title": "hms_vae_implementation",
      "source": "live",
      "kernel_id": "78890049"
    },
    {
      "ref": "ashoksingh5972/hms-simclr-implementation-few-negative-pairs",
      "title": "hms_simCLR_Implementation(few negative pairs)",
      "source": "live",
      "kernel_id": "78818317"
    },
    {
      "ref": "enderonat/g-sterdi-imiz-3d-model",
      "title": "Gösterdiğimiz 3D Model",
      "source": "live",
      "kernel_id": "78629316"
    },
    {
      "ref": "sitharthvarsan/fork-of-hms-hbac-kerascv-starter-notebook-ee409f",
      "title": "Fork of HMS-HBAC: KerasCV Starter Notebook  ee409f",
      "source": "live",
      "kernel_id": "78386421"
    },
    {
      "ref": "sitharthvarsan/fork-of-hms-hbac-kerascv-starter-notebook-eaba6a",
      "title": "Fork of HMS-HBAC: KerasCV Starter Notebook  eaba6a",
      "source": "live",
      "kernel_id": "78386292"
    },
    {
      "ref": "amritarajput54/hms-neurobanshee",
      "title": "HMS-NeuroBanshee",
      "source": "live",
      "kernel_id": "78376371"
    },
    {
      "ref": "ashoksingh5972/hms-simclr-implementation",
      "title": "hms_simCLR_Implementation",
      "source": "live",
      "kernel_id": "78360866"
    },
    {
      "ref": "sairajeshvelagana/coeff-analysis",
      "title": "Coeff analysis",
      "source": "live",
      "kernel_id": "78278626"
    },
    {
      "ref": "jyothiswarooppatta/data-processing",
      "title": "Data processing",
      "source": "live",
      "kernel_id": "77591987"
    },
    {
      "ref": "mohamedalaaelsayad/eegmodelv2-notebook",
      "title": "EEGmodelV2_notebook",
      "source": "live",
      "kernel_id": "77481620"
    },
    {
      "ref": "saribmemon/fyp-final-file",
      "title": "FYP Final File",
      "source": "live",
      "kernel_id": "77436497"
    },
    {
      "ref": "ashoksingh5972/hms-implementation",
      "title": "HMS_implementation",
      "source": "live",
      "kernel_id": "77369441"
    },
    {
      "ref": "mohamedrajab/eeg-gp",
      "title": " EEG GP ",
      "source": "live",
      "kernel_id": "77297924"
    },
    {
      "ref": "thithanhqucthnh/exploring-eeg-a-beginner-s-guide",
      "title": "🧠 Exploring EEG: A Beginner's Guide",
      "source": "live",
      "kernel_id": "76600796"
    },
    {
      "ref": "ashoksingh5972/cnn-efficientnet",
      "title": "CNN EfficientNet",
      "source": "live",
      "kernel_id": "75793358"
    },
    {
      "ref": "aryanmaingi/convexnetsmall",
      "title": "convexnetsmall",
      "source": "live",
      "kernel_id": "75565932"
    },
    {
      "ref": "vedantvatsa21bce1172/notebook10a568fbae",
      "title": "notebook10a568fbae",
      "source": "live",
      "kernel_id": "75560805"
    },
    {
      "ref": "vedantvatsa21bce1172/notebook9580aaf82f",
      "title": "notebook9580aaf82f",
      "source": "live",
      "kernel_id": "75517373"
    },
    {
      "ref": "navvvgupta1/btp-abhinav-gpta",
      "title": "btp_abhinav_gpta",
      "source": "live",
      "kernel_id": "75513057"
    },
    {
      "ref": "navvvgupta1/hms-resnet1d-gru-inference-1-5-dataset",
      "title": "HMS Resnet1d GRU Inference - 1 / 5 Dataset",
      "source": "live",
      "kernel_id": "75468621"
    },
    {
      "ref": "xiia158rajaryan/metrics-commit",
      "title": "metrics_commit",
      "source": "live",
      "kernel_id": "75431310"
    },
    {
      "ref": "navvvgupta1/3-model-approach",
      "title": "3_model_approach",
      "source": "live",
      "kernel_id": "75336407"
    },
    {
      "ref": "jerrinv/brain",
      "title": "Brain",
      "source": "live",
      "kernel_id": "75222732"
    },
    {
      "ref": "vedantvatsa/notebookd741afc6c8",
      "title": "notebookd741afc6c8",
      "source": "live",
      "kernel_id": "75203306"
    },
    {
      "ref": "vedantvatsa26/notebookea1cb60353",
      "title": "notebookea1cb60353",
      "source": "live",
      "kernel_id": "75193043"
    },
    {
      "ref": "vedantvatsa/notebook8b4b444e2e",
      "title": "notebook8b4b444e2e",
      "source": "live",
      "kernel_id": "75182212"
    },
    {
      "ref": "abhiyanampally/notebookbcbb633c49",
      "title": "notebookbcbb633c49",
      "source": "live",
      "kernel_id": "75142863"
    },
    {
      "ref": "raj2004/ablation-ready",
      "title": "ablation_ready",
      "source": "live",
      "kernel_id": "74555979"
    },
    {
      "ref": "rajaryantk/metrics-commit-share",
      "title": "metrics_commit_share",
      "source": "live",
      "kernel_id": "74547631"
    },
    {
      "ref": "huangziyue17/2022-2-17-ex01",
      "title": "2022级大数据2班17号黄子岳Ex01",
      "source": "live",
      "kernel_id": "73815993"
    },
    {
      "ref": "magedaliahmed/notebook8c5eebbe00",
      "title": "notebook8c5eebbe00",
      "source": "live",
      "kernel_id": "73683838"
    },
    {
      "ref": "vedantvatsa/hms-hbac-kerascv-starter-notebook-1eb700",
      "title": "HMS-HBAC: KerasCV Starter Notebook 1eb700",
      "source": "live",
      "kernel_id": "73506807"
    },
    {
      "ref": "protobioengineering/digital-signals-frequency-filters-in-python",
      "title": "Digital Signals: Frequency Filters in Python",
      "source": "live",
      "kernel_id": "73499436"
    },
    {
      "ref": "sourav230/eeg-fdm",
      "title": "EEG FDM",
      "source": "live",
      "kernel_id": "73266248"
    },
    {
      "ref": "devidasmhatre/efficientnetb2-circular-eeg",
      "title": "EfficientNetB2 - CIRCULAR EEG",
      "source": "live",
      "kernel_id": "72762080"
    },
    {
      "ref": "magedaliahmed/hms-harmful-brain-activity-pred-using-vaes",
      "title": "HMS - Harmful Brain Activity pred. using VAEs ",
      "source": "live",
      "kernel_id": "72094487"
    },
    {
      "ref": "zyh1104/039-hms-harmful-brain-activity-classification",
      "title": "039_HMS - Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "71670832"
    },
    {
      "ref": "whdhdyt/hms-spectrogram-cnn-data-augmentation",
      "title": "HMS - Spectrogram CNN Data Augmentation",
      "source": "live",
      "kernel_id": "71365122"
    },
    {
      "ref": "nihaalshindhe/pre-trained",
      "title": "Pre-Trained",
      "source": "live",
      "kernel_id": "71301772"
    },
    {
      "ref": "hemnathkopula/efficientnetb0-518d39",
      "title": "EfficientNetB0 518d39",
      "source": "live",
      "kernel_id": "71296697"
    },
    {
      "ref": "nabeel667/fyp-project-seizure-detection",
      "title": "FYP Project Seizure Detection",
      "source": "live",
      "kernel_id": "71166545"
    },
    {
      "ref": "ojaskalia/submission-csv",
      "title": "submission.csv",
      "source": "live",
      "kernel_id": "71062868"
    },
    {
      "ref": "manthanvijaybarhate/fork-9-of-hms-prrocessing",
      "title": "Fork 9 of HMS-PRROCESSING",
      "source": "live",
      "kernel_id": "70890107"
    },
    {
      "ref": "manthanvijaybarhate/fork-8-of-hms-prrocessing",
      "title": "Fork 8 of HMS-PRROCESSING",
      "source": "live",
      "kernel_id": "70890022"
    },
    {
      "ref": "manthanvijaybarhate/fork-7-of-hms-prrocessing",
      "title": "Fork 7 of HMS-PRROCESSING",
      "source": "live",
      "kernel_id": "70889970"
    },
    {
      "ref": "manthanvijaybarhate/fork-6-of-hms-prrocessing",
      "title": "Fork 6 of HMS-PRROCESSING",
      "source": "live",
      "kernel_id": "70889898"
    },
    {
      "ref": "manthanvijaybarhate/fork-5-of-hms-prrocessing",
      "title": "Fork 5 of HMS-PRROCESSING",
      "source": "live",
      "kernel_id": "70889790"
    },
    {
      "ref": "sohammhatre112/fork-4-of-hms-prrocessing",
      "title": "Fork 4 of HMS-PRROCESSING",
      "source": "live",
      "kernel_id": "70888467"
    },
    {
      "ref": "sohammhatre112/fork-3-of-hms-prrocessing",
      "title": "Fork 3 of HMS-PRROCESSING",
      "source": "live",
      "kernel_id": "70888391"
    },
    {
      "ref": "sohammhatre112/fork-2-of-hms-prrocessing",
      "title": "Fork 2 of HMS-PRROCESSING",
      "source": "live",
      "kernel_id": "70888325"
    },
    {
      "ref": "sohammhatre112/fork-1-of-hms-prrocessing",
      "title": "Fork 1 of HMS-PRROCESSING",
      "source": "live",
      "kernel_id": "70888097"
    },
    {
      "ref": "manthanvijaybarhate/kaggle-hms",
      "title": "kaggle_hms",
      "source": "live",
      "kernel_id": "70870343"
    },
    {
      "ref": "samithanawarathna/harmful-brain-activity-classifier-with-cnn",
      "title": "🧠Harmful Brain Activity Classifier with 📶CNN",
      "source": "live",
      "kernel_id": "70856980"
    },
    {
      "ref": "hemnathkopula/fullycn",
      "title": "fullyCN",
      "source": "live",
      "kernel_id": "70848338"
    },
    {
      "ref": "hemnathkopula/resnet34",
      "title": "ResNet34",
      "source": "live",
      "kernel_id": "70847874"
    },
    {
      "ref": "hemnathkopula/efficientnetb0",
      "title": "EfficientNetB0",
      "source": "live",
      "kernel_id": "70844865"
    },
    {
      "ref": "nihaalshindhe/efficientnetb0",
      "title": "EfficientNetB0",
      "source": "live",
      "kernel_id": "70823314"
    },
    {
      "ref": "nihaalshindhe/resnet34",
      "title": "ResNet34",
      "source": "live",
      "kernel_id": "70821364"
    },
    {
      "ref": "nihaalshindhe/fullycn",
      "title": "fullyCN",
      "source": "live",
      "kernel_id": "70810300"
    },
    {
      "ref": "sitharthvarsan/hms-hbac-kerascv-starter-notebook-51af0c",
      "title": "HMS-HBAC: KerasCV Starter Notebook 51af0c",
      "source": "live",
      "kernel_id": "68326024"
    },
    {
      "ref": "narnedheeraj/hms-hbac-kerascv-starter-notebook-51af0c",
      "title": "HMS-HBAC: KerasCV Starter Notebook 51af0c",
      "source": "live",
      "kernel_id": "68288996"
    },
    {
      "ref": "narnedheeraj/current",
      "title": "current",
      "source": "live",
      "kernel_id": "68178613"
    },
    {
      "ref": "narnedheeraj/hms-lstms",
      "title": "HMS_LSTMS",
      "source": "live",
      "kernel_id": "68134048"
    },
    {
      "ref": "mannamganeshvivek/notebook7436eced32",
      "title": "notebook7436eced32",
      "source": "live",
      "kernel_id": "68052899"
    },
    {
      "ref": "zaibunnisaa/hms-hbac-updated-spectrograms-pt-3",
      "title": "HMS HBAC Updated Spectrograms Pt. 3",
      "source": "live",
      "kernel_id": "67200736"
    },
    {
      "ref": "priyadharshan27/project",
      "title": "Project",
      "source": "live",
      "kernel_id": "67142190"
    },
    {
      "ref": "zaibunnisaa/wavelet-transform-thes1",
      "title": "wavelet Transform_thes1",
      "source": "live",
      "kernel_id": "66932405"
    },
    {
      "ref": "aryanagarkar/how-to-make-spectrogram-from-eeg",
      "title": "How To Make Spectrogram from EEG",
      "source": "live",
      "kernel_id": "66923121"
    },
    {
      "ref": "aryanagarkar/efficientnetb2-starter-lb-0-57",
      "title": "EfficientNetB2 Starter - [LB 0.57]",
      "source": "live",
      "kernel_id": "66887786"
    },
    {
      "ref": "rafatferdous/thesis-thing",
      "title": "Thesis thing",
      "source": "live",
      "kernel_id": "66788614"
    },
    {
      "ref": "raj2004/data-exploration",
      "title": "data_exploration",
      "source": "live",
      "kernel_id": "66702770"
    },
    {
      "ref": "zaibunnisaa/hms-eeg-signal-processing-and-vgg19",
      "title": "HMS EEG Signal Processing and VGG19",
      "source": "live",
      "kernel_id": "66442163"
    },
    {
      "ref": "fundial/hms-harmful-brain-activity-classification",
      "title": "HMS - Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "64774359"
    },
    {
      "ref": "ansh1012/ankit-hms",
      "title": "Ankit HMS ",
      "source": "live",
      "kernel_id": "63279534"
    },
    {
      "ref": "egrbg1/harmful-brain-activity-classification-fred4code",
      "title": "Harmful_Brain_Activity_Classification_fred4code",
      "source": "live",
      "kernel_id": "63105187"
    },
    {
      "ref": "vaishnanidarsh/25-epochs-new-split-efficientnet",
      "title": "25 epochs (new split) (efficientnet)",
      "source": "live",
      "kernel_id": "62869241"
    },
    {
      "ref": "fatemehbolhasani/notebook8ef8407e0c-58a64f",
      "title": "notebook8ef8407e0c 58a64f",
      "source": "live",
      "kernel_id": "62387990"
    },
    {
      "ref": "magdaaaa/notebook8ef8407e0c",
      "title": "notebook8ef8407e0c",
      "source": "live",
      "kernel_id": "62266173"
    },
    {
      "ref": "escapelikeawind/two-model-ensemble-lb-0-32",
      "title": "Two Model Ensemble [LB 0.32]",
      "source": "live",
      "kernel_id": "62265200"
    },
    {
      "ref": "magdaaaa/notebook4f81a08164",
      "title": "notebook4f81a08164",
      "source": "live",
      "kernel_id": "62204082"
    },
    {
      "ref": "rupalgarg10/notebook2dd485fa48",
      "title": "notebook2dd485fa48",
      "source": "live",
      "kernel_id": "61886932"
    },
    {
      "ref": "rupalgarg10/densenet",
      "title": "densenet",
      "source": "live",
      "kernel_id": "61576264"
    },
    {
      "ref": "jacobjkeller123/hms-competition",
      "title": "HMS Competition",
      "source": "live",
      "kernel_id": "61505730"
    },
    {
      "ref": "sarapamplona/competition-notebook",
      "title": "Competition notebook",
      "source": "live",
      "kernel_id": "61493171"
    },
    {
      "ref": "gradientoptimizer/cnn-benchmarking",
      "title": "CNN_Benchmarking",
      "source": "live",
      "kernel_id": "61134239"
    },
    {
      "ref": "rupalgarg10/wavenet-starter-lb-0-66-d528c1",
      "title": "WaveNet Starter - [LB 0.66] d528c1",
      "source": "live",
      "kernel_id": "61039441"
    },
    {
      "ref": "phanlannnnnnn/hms-hbac-notebook-ok",
      "title": "HMS-HBAC Notebook ok",
      "source": "live",
      "kernel_id": "60941083"
    },
    {
      "ref": "vasugupta0404/notebook44c7773753",
      "title": "notebook44c7773753",
      "source": "live",
      "kernel_id": "60930237"
    },
    {
      "ref": "hemangjindal/wavenet-starter-lb-0-66-fcae1e",
      "title": "WaveNet Starter - [LB 0.66] fcae1e",
      "source": "live",
      "kernel_id": "60895887"
    },
    {
      "ref": "rezkyyagung/feature-extraction-pt-2",
      "title": "Feature Extraction pt 2",
      "source": "live",
      "kernel_id": "60775569"
    },
    {
      "ref": "rezkyyagung/hms-try-3",
      "title": "HMS - Try 3",
      "source": "live",
      "kernel_id": "60702800"
    },
    {
      "ref": "rupalgarg10/notebook7b338055cf",
      "title": "notebook7b338055cf",
      "source": "live",
      "kernel_id": "60405199"
    },
    {
      "ref": "rupalgarg10/wavenet-starter-lb-0-66",
      "title": "WaveNet Starter - [LB 0.66]",
      "source": "live",
      "kernel_id": "60304504"
    },
    {
      "ref": "rezkyyagung/hms-try1",
      "title": "HMS - Try1",
      "source": "live",
      "kernel_id": "60122920"
    },
    {
      "ref": "sukritiprasad/wavenet-starter-lb-0-66",
      "title": "WaveNet Starter - [LB 0.66]",
      "source": "live",
      "kernel_id": "59925322"
    },
    {
      "ref": "hemangjindal/wavenet-starter-lb-0-66",
      "title": "WaveNet Starter - [LB 0.66]",
      "source": "live",
      "kernel_id": "59925038"
    },
    {
      "ref": "pakawatphasook/bas-eeg-using-wavelet-transformer-denoise",
      "title": "Bas EEG using Wavelet transformer Denoise",
      "source": "live",
      "kernel_id": "59892507"
    },
    {
      "ref": "sajjadjuel/hms-hbac",
      "title": "HMS-HBAC",
      "source": "live",
      "kernel_id": "59865355"
    },
    {
      "ref": "sukritiprasad/notebooke368df9d32",
      "title": "notebooke368df9d32",
      "source": "live",
      "kernel_id": "59696289"
    },
    {
      "ref": "hemangjindal/mynotebook",
      "title": "mynotebook",
      "source": "live",
      "kernel_id": "59679187"
    },
    {
      "ref": "vasugupta0404/ntcc-in-house",
      "title": "NTCC in house",
      "source": "live",
      "kernel_id": "59422856"
    },
    {
      "ref": "mariajosesenz/fork-of-stft-multiscale-cnn",
      "title": "Fork of STFT MultiScale CNN",
      "source": "live",
      "kernel_id": "58359748"
    },
    {
      "ref": "aprilsan/hms-competition",
      "title": "HMS competition",
      "source": "live",
      "kernel_id": "58112182"
    },
    {
      "ref": "zehongwu/hms-densenet-test2",
      "title": "hms-densenet-test2",
      "source": "live",
      "kernel_id": "58048517"
    },
    {
      "ref": "fwgalde/eda-analysis",
      "title": "EDA_analysis",
      "source": "live",
      "kernel_id": "58027732"
    },
    {
      "ref": "kiruthikavajjiravelu/hbac-ml-proj",
      "title": "hbac ml proj",
      "source": "live",
      "kernel_id": "57704605"
    },
    {
      "ref": "isaiquintanilla/resnet1d-gru",
      "title": "Resnet1D-GRU ",
      "source": "live",
      "kernel_id": "57636334"
    },
    {
      "ref": "daniil19189/creating-preprocessed-data-set",
      "title": "Creating preprocessed data set",
      "source": "live",
      "kernel_id": "57240570"
    },
    {
      "ref": "daniil19189/exploration-of-data",
      "title": "Exploration of data",
      "source": "live",
      "kernel_id": "57168545"
    },
    {
      "ref": "phanlannnnn/notebookcodaa4c61a76",
      "title": "notebookCOdaa4c61a76",
      "source": "live",
      "kernel_id": "57165104"
    },
    {
      "ref": "fwgalde/hsm-draft",
      "title": "HSM_draft",
      "source": "live",
      "kernel_id": "57065954"
    },
    {
      "ref": "raunakkrishanjaiswal/final-eda-hms-raunak",
      "title": "final_eda_hms_raunak",
      "source": "live",
      "kernel_id": "56977202"
    },
    {
      "ref": "raunakkrishanjaiswal/hms-resnet",
      "title": "hms_resnet",
      "source": "live",
      "kernel_id": "56895551"
    },
    {
      "ref": "raunakkrishanjaiswal/hms-efficientnet",
      "title": "hms_efficientnet",
      "source": "live",
      "kernel_id": "56820238"
    },
    {
      "ref": "raunakkrishanjaiswal/hms-deeplearning-rk",
      "title": "HMS_DeepLearning_RK",
      "source": "live",
      "kernel_id": "56723129"
    },
    {
      "ref": "cooolz/2nd-place-solution",
      "title": "2nd place solution",
      "source": "live",
      "kernel_id": "56682794"
    },
    {
      "ref": "mohammadmkanna/inference-hms",
      "title": "Inference_HMS",
      "source": "live",
      "kernel_id": "56546539"
    },
    {
      "ref": "mohammadmkanna/hms-effnet-train",
      "title": "HMS_EffNet_Train",
      "source": "live",
      "kernel_id": "56519340"
    },
    {
      "ref": "dishagusain/vgg16-2",
      "title": "vgg16_2",
      "source": "live",
      "kernel_id": "56498504"
    },
    {
      "ref": "dishagusain/effnet-3",
      "title": "Effnet_3",
      "source": "live",
      "kernel_id": "56471207"
    },
    {
      "ref": "dishagusain/effnet-2",
      "title": "Effnet_2",
      "source": "live",
      "kernel_id": "56447622"
    },
    {
      "ref": "mohammadmkanna/eda-hms-competition",
      "title": "EDA_HMS_Competition",
      "source": "live",
      "kernel_id": "56391879"
    },
    {
      "ref": "dishagusain/resnet-50",
      "title": "Resnet_50",
      "source": "live",
      "kernel_id": "56324782"
    },
    {
      "ref": "phanlannnnn/0-hms-hbac-notebook",
      "title": "0.HMS-HBAC Notebook",
      "source": "live",
      "kernel_id": "56233045"
    },
    {
      "ref": "zhen7lin/team-2-inference",
      "title": "Team 2 Inference",
      "source": "live",
      "kernel_id": "56205476"
    },
    {
      "ref": "worawittepsan/notebook2f9a895686",
      "title": "notebook2f9a895686",
      "source": "live",
      "kernel_id": "56169762"
    },
    {
      "ref": "zhen7lin/1st-place-hms-inference-code",
      "title": "1st place HMS inference code",
      "source": "live",
      "kernel_id": "56156452"
    },
    {
      "ref": "zhen7lin/3rd-place-solution",
      "title": "3rd place solution",
      "source": "live",
      "kernel_id": "56156338"
    },
    {
      "ref": "datevik/notebookd6f78aa8b3",
      "title": "notebookd6f78aa8b3",
      "source": "live",
      "kernel_id": "56078230"
    },
    {
      "ref": "harrledin/hms-vit-base-multimodal-model",
      "title": "HMS: ViT-base-Multimodal model",
      "source": "live",
      "kernel_id": "56045916"
    },
    {
      "ref": "sameenamujawar/sm-hms-hba-final-report",
      "title": "[SM]-hms-hba-Final_report",
      "source": "live",
      "kernel_id": "55875990"
    },
    {
      "ref": "rohitprasad612/final",
      "title": "Final",
      "source": "live",
      "kernel_id": "55865651"
    },
    {
      "ref": "ninaadlakshman/neuroguard-deeptop-cwt-first-processing",
      "title": "NeuroGuard DeepTop CWT First Processing",
      "source": "live",
      "kernel_id": "55734023"
    },
    {
      "ref": "brenolfreitas/breno-freitas-combined-models-v1",
      "title": "Breno Freitas - Combined models v1",
      "source": "live",
      "kernel_id": "55718278"
    },
    {
      "ref": "kotokoonishi/kotoko-hms",
      "title": "kotoko_hms",
      "source": "live",
      "kernel_id": "55651559"
    },
    {
      "ref": "nursentore/brainactivity-nursen",
      "title": "brainactivity_nursen",
      "source": "live",
      "kernel_id": "55551944"
    },
    {
      "ref": "slovnoyaegiptianin/notebook981f6984ad",
      "title": "notebook981f6984ad",
      "source": "live",
      "kernel_id": "55543243"
    },
    {
      "ref": "judahrowe1/start",
      "title": "Start",
      "source": "live",
      "kernel_id": "55402564"
    },
    {
      "ref": "abhinavlodha/densenetbasic",
      "title": "DenseNetBasic",
      "source": "live",
      "kernel_id": "55281690"
    },
    {
      "ref": "sameenamujawar/sm-hba-hms-detailed-presentation",
      "title": "[SM]- hba hms - detailed presentation",
      "source": "live",
      "kernel_id": "55241527"
    },
    {
      "ref": "kevinmeng2001/552-final-project",
      "title": "552 Final Project",
      "source": "live",
      "kernel_id": "55241525"
    },
    {
      "ref": "sugupoko/1st-place-all-train-code",
      "title": "1st place all train code",
      "source": "live",
      "kernel_id": "55185117"
    },
    {
      "ref": "pvsekhar123/ensemble-model",
      "title": "Ensemble Model",
      "source": "live",
      "kernel_id": "55091651"
    },
    {
      "ref": "pvsekhar123/hms-resnet1d-gru-train-notebook",
      "title": "HMS-ResNet1d GRU Train Notebook",
      "source": "live",
      "kernel_id": "55084078"
    },
    {
      "ref": "pvsekhar123/hms-resnet1d-gru-inference-notebook",
      "title": "HMS-ResNet1d GRU Inference Notebook",
      "source": "live",
      "kernel_id": "55084012"
    },
    {
      "ref": "dlsladk/cwt-stft-kag",
      "title": "CWT_STFT_Kag",
      "source": "live",
      "kernel_id": "55082608"
    },
    {
      "ref": "gothos01/hms-hbac-project-transformers",
      "title": "HMS HBAC project- Transformers",
      "source": "live",
      "kernel_id": "55061020"
    },
    {
      "ref": "sugupoko/1st-place-hms-inference-code",
      "title": "1st place HMS inference code",
      "source": "live",
      "kernel_id": "55053905"
    },
    {
      "ref": "kevinxin2612/final-submit",
      "title": "final-submit",
      "source": "live",
      "kernel_id": "54948973"
    },
    {
      "ref": "quan0095/example-code-for-hms-multi-modals-model",
      "title": "Example code for hms_multi_modals model",
      "source": "live",
      "kernel_id": "54938093"
    },
    {
      "ref": "cooolz/eeg-raw-model",
      "title": "eeg_raw_model",
      "source": "live",
      "kernel_id": "54933686"
    },
    {
      "ref": "gregblast/brain-boy-eeg-modeling",
      "title": "Brain Boy EEG Modeling",
      "source": "live",
      "kernel_id": "54900986"
    },
    {
      "ref": "rahulsingh04/multi-transfferlearningtype2",
      "title": "Multi-TransfferLearningType2",
      "source": "live",
      "kernel_id": "54852701"
    },
    {
      "ref": "gregblast/brain-boy-spectrogram-modeling",
      "title": "Brain Boy Spectrogram Modeling",
      "source": "live",
      "kernel_id": "54762042"
    },
    {
      "ref": "sameenamujawar/sm-harmful-brain-activity-classification",
      "title": "[SM]- harmful brain activity classification",
      "source": "live",
      "kernel_id": "54702294"
    },
    {
      "ref": "dlsladk/cwt-transform",
      "title": "CWT_TRANSFORM",
      "source": "live",
      "kernel_id": "54669065"
    },
    {
      "ref": "yujiariyasu/hms-stacking",
      "title": "hms-stacking",
      "source": "live",
      "kernel_id": "54658214"
    },
    {
      "ref": "yujiariyasu/4th-place-solution",
      "title": "4th-place-solution",
      "source": "live",
      "kernel_id": "54655967"
    },
    {
      "ref": "goldenlock/single-model-lb0-229-pb0-281-allinone",
      "title": "Single model 【LB0.229 PB0.281】 allinone",
      "source": "live",
      "kernel_id": "54652039"
    },
    {
      "ref": "kotokoonishi/kotoko",
      "title": "kotoko",
      "source": "live",
      "kernel_id": "54651214"
    },
    {
      "ref": "dimanishi/hms-graph-model-training",
      "title": "HMS graph model training",
      "source": "live",
      "kernel_id": "54649270"
    },
    {
      "ref": "darraghdog/3rd-place-solution",
      "title": "3rd place solution",
      "source": "live",
      "kernel_id": "54617597"
    },
    {
      "ref": "yujiariyasu/train-by-clean-data",
      "title": "train by clean data",
      "source": "live",
      "kernel_id": "54604616"
    },
    {
      "ref": "dimanishi/hms-graph-model-inference",
      "title": "HMS graph model inference",
      "source": "live",
      "kernel_id": "54603992"
    },
    {
      "ref": "dimanishi/hms-waveform-image-generation",
      "title": "HMS waveform image generation",
      "source": "live",
      "kernel_id": "54564884"
    },
    {
      "ref": "zachies/gradientboosting",
      "title": "gradientboosting",
      "source": "live",
      "kernel_id": "54530583"
    },
    {
      "ref": "goldenlock/single-model-lb0-233-pb0-287-allinone",
      "title": "Single model 【LB0.233 PB0.287】 allinone",
      "source": "live",
      "kernel_id": "54530018"
    },
    {
      "ref": "goldenlock/image-model-ensemble",
      "title": "image_model(Ensemble)",
      "source": "live",
      "kernel_id": "54528360"
    },
    {
      "ref": "subhodeepghosh01/3lancers-neural-net",
      "title": "3Lancers Neural Net",
      "source": "live",
      "kernel_id": "54507565"
    },
    {
      "ref": "s21blc1179/notebook1",
      "title": "notebook1",
      "source": "live",
      "kernel_id": "54504122"
    },
    {
      "ref": "yujiariyasu/fmax30-sec50-16feats-4",
      "title": "fmax30_sec50_16FEATS_4",
      "source": "live",
      "kernel_id": "54499614"
    },
    {
      "ref": "yujiariyasu/fmax30-sec50-16feats-3",
      "title": "fmax30_sec50_16FEATS_3",
      "source": "live",
      "kernel_id": "54499612"
    },
    {
      "ref": "yujiariyasu/fmax30-sec50-16feats-2",
      "title": "fmax30_sec50_16FEATS_2",
      "source": "live",
      "kernel_id": "54499611"
    },
    {
      "ref": "yujiariyasu/fmax30-sec50-16feats-1",
      "title": "fmax30_sec50_16FEATS_1",
      "source": "live",
      "kernel_id": "54499610"
    },
    {
      "ref": "yujiariyasu/fmax60-sec40-16feats-4",
      "title": "fmax60_sec40_16FEATS_4",
      "source": "live",
      "kernel_id": "54497346"
    },
    {
      "ref": "yujiariyasu/fmax60-sec40-16feats-3",
      "title": "fmax60_sec40_16FEATS_3",
      "source": "live",
      "kernel_id": "54497344"
    },
    {
      "ref": "yujiariyasu/fmax60-sec40-16feats-2",
      "title": "fmax60_sec40_16FEATS_2",
      "source": "live",
      "kernel_id": "54497343"
    },
    {
      "ref": "yujiariyasu/fmax60-sec40-16feats-1",
      "title": "fmax60_sec40_16FEATS_1",
      "source": "live",
      "kernel_id": "54497341"
    },
    {
      "ref": "yujiariyasu/fmax30-sec50-16feats-0",
      "title": "fmax30_sec50_16FEATS_0",
      "source": "live",
      "kernel_id": "54494965"
    },
    {
      "ref": "yujiariyasu/fmax60-sec40-16feats-0",
      "title": "fmax60_sec40_16FEATS_0",
      "source": "live",
      "kernel_id": "54494908"
    },
    {
      "ref": "yujiariyasu/fmax90-sec10-8feats-4",
      "title": "fmax90_sec10_8FEATS_4",
      "source": "live",
      "kernel_id": "54494861"
    },
    {
      "ref": "yujiariyasu/fmax90-sec10-8feats-3",
      "title": "fmax90_sec10_8FEATS_3",
      "source": "live",
      "kernel_id": "54494860"
    },
    {
      "ref": "yujiariyasu/fmax90-sec10-8feats-2",
      "title": "fmax90_sec10_8FEATS_2",
      "source": "live",
      "kernel_id": "54494859"
    },
    {
      "ref": "yujiariyasu/fmax90-sec10-8feats-1",
      "title": "fmax90_sec10_8FEATS_1",
      "source": "live",
      "kernel_id": "54494856"
    },
    {
      "ref": "yujiariyasu/fmax90-sec10-8feats-0",
      "title": "fmax90_sec10_8FEATS_0",
      "source": "live",
      "kernel_id": "54494778"
    },
    {
      "ref": "yujiariyasu/pretrain-by-all-data",
      "title": "pretrain by all data",
      "source": "live",
      "kernel_id": "54486329"
    },
    {
      "ref": "yujiariyasu/fmax30-sec30-8feats-4",
      "title": "fmax30_sec30_8FEATS_4",
      "source": "live",
      "kernel_id": "54486151"
    },
    {
      "ref": "yujiariyasu/fmax30-sec30-8feats-3",
      "title": "fmax30_sec30_8FEATS_3",
      "source": "live",
      "kernel_id": "54486148"
    },
    {
      "ref": "yujiariyasu/fmax30-sec30-8feats-2",
      "title": "fmax30_sec30_8FEATS_2",
      "source": "live",
      "kernel_id": "54486145"
    },
    {
      "ref": "yujiariyasu/fmax30-sec30-8feats-1",
      "title": "fmax30_sec30_8FEATS_1",
      "source": "live",
      "kernel_id": "54486144"
    },
    {
      "ref": "yujiariyasu/fmax30-sec30-8feats-0",
      "title": "fmax30_sec30_8FEATS_0",
      "source": "live",
      "kernel_id": "54484264"
    },
    {
      "ref": "yujiariyasu/preprocess-train-csv",
      "title": "preprocess train.csv",
      "source": "live",
      "kernel_id": "54481813"
    },
    {
      "ref": "fanshuzhou48/ml-final-project",
      "title": "ML final project",
      "source": "live",
      "kernel_id": "54475147"
    },
    {
      "ref": "cdeotte/single-model-gold-solution-cv-0-24-lb-0-24",
      "title": "Single Model Gold Solution - [CV 0.24, LB 0.24]",
      "source": "live",
      "kernel_id": "54468431"
    },
    {
      "ref": "rahulsingh04/multi-transffer-learning-type1",
      "title": "multi_transffer_learning_Type1",
      "source": "live",
      "kernel_id": "54414967"
    },
    {
      "ref": "kevenpeter/hms-harmful-brain-activity-classification",
      "title": "HMS - harmful brain activity classification",
      "source": "live",
      "kernel_id": "54403184"
    },
    {
      "ref": "ktakita/hms-solution-1d-reshape-to-2d",
      "title": "HMS solution 1d reshape to 2d",
      "source": "live",
      "kernel_id": "54383912"
    },
    {
      "ref": "rahulsingh04/imagepreprocessing1",
      "title": "ImagePreprocessing1",
      "source": "live",
      "kernel_id": "54367496"
    },
    {
      "ref": "majiaqi111/there-model-ensemble-lb0-28-pb0-35",
      "title": "There Model Ensemble(LB0.28 PB0.35)",
      "source": "live",
      "kernel_id": "54338291"
    },
    {
      "ref": "samvelkoch/hms-interactive-leaderboard-and-shake-up-plot",
      "title": "HMS Interactive Leaderboard and Shake Up Plot",
      "source": "live",
      "kernel_id": "54324590"
    },
    {
      "ref": "mmrizzo/evaluate-hms-test",
      "title": "evaluate_HMS_test",
      "source": "live",
      "kernel_id": "54312846"
    },
    {
      "ref": "shiyili/hms-visiontransformer-pretrained-spectrograms",
      "title": "HMS-VisionTransformer-PreTrained-Spectrograms",
      "source": "live",
      "kernel_id": "54285824"
    },
    {
      "ref": "snopoff/graphs-from-eeg-data",
      "title": "Graphs from EEG data",
      "source": "live",
      "kernel_id": "54274470"
    },
    {
      "ref": "abs2886/hms-ps-bilstm-resgru-attention-model",
      "title": "HMS | PS-BiLSTM ResGRU+Attention model",
      "source": "live",
      "kernel_id": "54269042"
    },
    {
      "ref": "sacuscreed/last-bullet-inference",
      "title": "Last Bullet Inference",
      "source": "live",
      "kernel_id": "54262876"
    },
    {
      "ref": "yujiariyasu/fork-of-ariyasu-newdata-oof-v4",
      "title": "Fork of ariyasu-newdata-oof-v4",
      "source": "live",
      "kernel_id": "54251565"
    },
    {
      "ref": "lisarosee/submit-v1",
      "title": "SUBMIT V1",
      "source": "live",
      "kernel_id": "54251145"
    },
    {
      "ref": "tattaka/fold2-fmax60-40sec-16ims-12epochs",
      "title": "fold2 fmax60_40sec 16ims 12epochs",
      "source": "live",
      "kernel_id": "54240270"
    },
    {
      "ref": "tattaka/fold1-fmax60-40sec-16ims-12epochs",
      "title": "fold1 fmax60_40sec 16ims 12epochs",
      "source": "live",
      "kernel_id": "54240268"
    },
    {
      "ref": "lisarosee/fork-of-model1",
      "title": "Fork of Model1",
      "source": "live",
      "kernel_id": "54240163"
    },
    {
      "ref": "tatamikenn/fold4-fmax60-40sec-16ims-12epochs-a8660e",
      "title": "fold4 fmax60_40sec 16ims 12epochs a8660e",
      "source": "live",
      "kernel_id": "54240153"
    },
    {
      "ref": "tatamikenn/fold3-fmax60-40sec-16ims-12epochs-e60a77",
      "title": "fold3 fmax60_40sec 16ims 12epochs e60a77",
      "source": "live",
      "kernel_id": "54240142"
    },
    {
      "ref": "yujiariyasu/ariyasu-newdata-oof-v4",
      "title": "ariyasu-newdata-oof-v4",
      "source": "live",
      "kernel_id": "54239542"
    },
    {
      "ref": "mmrizzo/hms-data-prep",
      "title": "hms_data_prep",
      "source": "live",
      "kernel_id": "54237914"
    },
    {
      "ref": "aadityaporwal/bronze-medal-soln-public-lb-0-28-private-lb-0-35",
      "title": "Bronze medal soln (public LB 0.28) private LB 0.35",
      "source": "live",
      "kernel_id": "54230037"
    },
    {
      "ref": "trilokvishwam/hms-train",
      "title": "HMS_TRAIN",
      "source": "live",
      "kernel_id": "54218504"
    },
    {
      "ref": "harved3/hms-harmful-brain-activity-rpy2-caret",
      "title": "HMS - Harmful Brain Activity rpy2/caret",
      "source": "live",
      "kernel_id": "54216031"
    },
    {
      "ref": "niuniuqi/there-model-ensemble-gpu100-ba2e45",
      "title": "There Model Ensemble GPU100 ba2e45",
      "source": "live",
      "kernel_id": "54207005"
    },
    {
      "ref": "tatamikenn/fold34-fmax30-30sec-8ims-2stage-pretrain",
      "title": "fold34 fmax30_30sec_8ims 2stage pretrain",
      "source": "live",
      "kernel_id": "54191332"
    },
    {
      "ref": "tatamikenn/fold34-fmax90-10sec-2stage-pretrain",
      "title": "fold34 fmax90_10sec 2stage pretrain",
      "source": "live",
      "kernel_id": "54191311"
    },
    {
      "ref": "rohitprasad612/harmful-brain-activity-classification",
      "title": "Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "54188097"
    },
    {
      "ref": "yujiariyasu/ariyasu-newdata-oof-v3",
      "title": "ariyasu-newdata-oof-v3",
      "source": "live",
      "kernel_id": "54184228"
    },
    {
      "ref": "ren4yu/fold012-fmax30-30sec-8ims-2stage-pretrain",
      "title": "fold012 fmax30_30sec_8ims 2stage pretrain",
      "source": "live",
      "kernel_id": "54179246"
    },
    {
      "ref": "ren4yu/fold012-fmax90-10sec-2stage-pretrain",
      "title": "fold012 fmax90_10sec 2stage pretrain",
      "source": "live",
      "kernel_id": "54179241"
    },
    {
      "ref": "yujiariyasu/fold0-fmax60-40sec-16ims-12epochs",
      "title": "fold0 fmax60_40sec 16ims 12epochs",
      "source": "live",
      "kernel_id": "54177843"
    },
    {
      "ref": "tatsuyayamamoto/hms-gkf-ensemble-ver2",
      "title": "HMS GKF Ensemble[Ver2]",
      "source": "live",
      "kernel_id": "54172529"
    },
    {
      "ref": "tattaka/fold12-fmax30-50sec-9epochs-2stage-pretrain",
      "title": "fold12 fmax30_50sec 9epochs 2stage pretrain",
      "source": "live",
      "kernel_id": "54166275"
    },
    {
      "ref": "tattaka/fold34-fmax30-50sec-9epochs-2stage-pretrai",
      "title": "fold34 fmax30_50sec 9epochs 2stage pretrai",
      "source": "live",
      "kernel_id": "54166273"
    },
    {
      "ref": "vishalbakshi/hms-hbac-eeg-spectrograms-pt-1",
      "title": "HMS HBAC EEG Spectrograms Pt. 1",
      "source": "live",
      "kernel_id": "54162816"
    },
    {
      "ref": "tatamikenn/fold34-fmax60-40sec-16ims-9epochs",
      "title": "fold34 fmax60_40sec 16ims 9epochs",
      "source": "live",
      "kernel_id": "54145295"
    },
    {
      "ref": "tatamikenn/fold12-fmax60-40sec-16ims-9epochs",
      "title": "fold12 fmax60_40sec 16ims 9epochs",
      "source": "live",
      "kernel_id": "54145285"
    },
    {
      "ref": "tattaka/fold0-fmax30-50sec-9epochs-2stage-pretrain",
      "title": "fold0 fmax30_50sec 9epochs 2stage pretrain",
      "source": "live",
      "kernel_id": "54132281"
    },
    {
      "ref": "yujiariyasu/ariyasu-newdata-oof-v2",
      "title": "ariyasu-newdata-oof-v2",
      "source": "live",
      "kernel_id": "54132233"
    },
    {
      "ref": "trentwu/three-model-ensemble-gpu100",
      "title": "Three Model Ensemble GPU100",
      "source": "live",
      "kernel_id": "54129956"
    },
    {
      "ref": "vishalbakshi/hms-hbac-updated-spectrograms-pt-3",
      "title": "HMS HBAC Updated Spectrograms Pt. 3",
      "source": "live",
      "kernel_id": "54092546"
    },
    {
      "ref": "yujiariyasu/fork-of-finetune-hms-chris-fmax30-30sec-8ims-bandp",
      "title": "Fork of finetune_hms_chris_fmax30_30sec_8ims_bandp",
      "source": "live",
      "kernel_id": "54023625"
    },
    {
      "ref": "xinwang1024/ensemble-new-spectrograms-label-refine",
      "title": "( ensemble) - New Spectrograms + Label Refine",
      "source": "live",
      "kernel_id": "54020458"
    },
    {
      "ref": "yasithakavishka/eeg-competitionbook3-logisticregression",
      "title": "EEG_CompetitionBook3_LogisticRegression",
      "source": "live",
      "kernel_id": "54008880"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-data-augmentation",
      "title": "Harmful Brain Activity - Data Augmentation",
      "source": "live",
      "kernel_id": "54004862"
    },
    {
      "ref": "debbiechu/hms-image-classification-with-efficientnet",
      "title": "HMS Image Classification with EfficientNet",
      "source": "live",
      "kernel_id": "54001021"
    },
    {
      "ref": "tatamikenn/finetune-hms-chris-fmax30-30sec-8ims-bandpa-8e8137",
      "title": "finetune_hms_chris_fmax30_30sec_8ims_bandpa 8e8137",
      "source": "live",
      "kernel_id": "53971540"
    },
    {
      "ref": "tatamikenn/finetune-hms-chris-fmax30-30sec-8ims-bandpass-spe",
      "title": "finetune_hms_chris_fmax30_30sec_8ims_bandpass_spe_",
      "source": "live",
      "kernel_id": "53970476"
    },
    {
      "ref": "tattaka/fmax90-10sec-3-4",
      "title": "fmax90_10sec [3,4]",
      "source": "live",
      "kernel_id": "53967115"
    },
    {
      "ref": "tattaka/fmax90-10sec-0-1-2",
      "title": "fmax90_10sec [0,1,2]",
      "source": "live",
      "kernel_id": "53967105"
    },
    {
      "ref": "richald/fork-of-no-ensemble-new-spectrograms-label-r",
      "title": "Fork of (No ensemble) - New Spectrograms + Label R",
      "source": "live",
      "kernel_id": "53954923"
    },
    {
      "ref": "vishalbakshi/hms-hbac-updated-spectrograms-pt-2",
      "title": "HMS HBAC Updated Spectrograms Pt. 2",
      "source": "live",
      "kernel_id": "53931570"
    },
    {
      "ref": "thaiha220298/three-model-ensemble",
      "title": "Three Model Ensemble",
      "source": "live",
      "kernel_id": "53904235"
    },
    {
      "ref": "yasithakavishka/eeg-competitionbook2",
      "title": "EEG_CompetitionBook2",
      "source": "live",
      "kernel_id": "53894351"
    },
    {
      "ref": "tatamikenn/train-by-fixed-data-e24ea3",
      "title": "train by fixed data e24ea3",
      "source": "live",
      "kernel_id": "53878479"
    },
    {
      "ref": "tatamikenn/train-by-fixed-data",
      "title": "train by fixed data",
      "source": "live",
      "kernel_id": "53878001"
    },
    {
      "ref": "lisarosee/model1",
      "title": "Model1",
      "source": "live",
      "kernel_id": "53836469"
    },
    {
      "ref": "mariaglushanina/resnet-inference",
      "title": "ResNet inference",
      "source": "live",
      "kernel_id": "53832125"
    },
    {
      "ref": "vishalbakshi/hms-hbac-updated-spectrograms",
      "title": "HMS HBAC Updated Spectrograms",
      "source": "live",
      "kernel_id": "53820416"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-custom-layers-for-rnn",
      "title": "Harmful Brain Activity - Custom layers for RNN",
      "source": "live",
      "kernel_id": "53814229"
    },
    {
      "ref": "mamoruiwasaki/hba-classification2",
      "title": "HBA Classification2",
      "source": "live",
      "kernel_id": "53790902"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-rnn-pre-trained-model",
      "title": "Harmful Brain Activity - RNN Pre-trained Model",
      "source": "live",
      "kernel_id": "53765735"
    },
    {
      "ref": "yezhiheng/zy-three-model-ensemble-gpu100",
      "title": "ZY-Three Model Ensemble GPU100",
      "source": "live",
      "kernel_id": "53762022"
    },
    {
      "ref": "igorvolianiuk/harmfull-brain-activity-model",
      "title": "Harmfull brain activity model",
      "source": "live",
      "kernel_id": "53756884"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-large-pt-2-train",
      "title": "HMS HBAC fastai large Pt. 2 [Train]",
      "source": "live",
      "kernel_id": "53753998"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-large-pt-1-train",
      "title": "HMS HBAC fastai large Pt. 1 [Train]",
      "source": "live",
      "kernel_id": "53753838"
    },
    {
      "ref": "asaliquid1011/hms-team-inference-ktmud",
      "title": "HMS_Team_inference_KTMUD",
      "source": "live",
      "kernel_id": "53747598"
    },
    {
      "ref": "shreyasharma23/full-spectrogram-image-generation",
      "title": "Full Spectrogram image generation",
      "source": "live",
      "kernel_id": "53741832"
    },
    {
      "ref": "revasingh/harmfull-brain-activity",
      "title": "Harmfull brain activity",
      "source": "live",
      "kernel_id": "53713095"
    },
    {
      "ref": "lenferdetroud/there-model-ensemble-gpu100",
      "title": "There Model Ensemble GPU100",
      "source": "live",
      "kernel_id": "53706943"
    },
    {
      "ref": "medali1992/stage2-knowledge-distillation-effnetb0-train",
      "title": "Stage2 Knowledge distillation EffNetB0 train",
      "source": "live",
      "kernel_id": "53688760"
    },
    {
      "ref": "khan1803115/best-result-0-29",
      "title": "Best result [0.29]",
      "source": "live",
      "kernel_id": "53645544"
    },
    {
      "ref": "khan1803115/best-result-lb-0-29",
      "title": "Best result  [LB 0.29] ",
      "source": "live",
      "kernel_id": "53644940"
    },
    {
      "ref": "debasishtripathy13/inception-efficientnet",
      "title": "Inception+EfficientNet",
      "source": "live",
      "kernel_id": "53636847"
    },
    {
      "ref": "praneeshkathirvel/hms-submission-praneesh",
      "title": "HMS_Submission_Praneesh",
      "source": "live",
      "kernel_id": "53635865"
    },
    {
      "ref": "serjhenrique/hms-hbac-spatio-temporal",
      "title": "hms-hbac spatio temporal",
      "source": "live",
      "kernel_id": "53631548"
    },
    {
      "ref": "eduardotoloza/probabilistic-classification-of-epileptic-patterns",
      "title": "Probabilistic classification of Epileptic Patterns",
      "source": "live",
      "kernel_id": "53631045"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-large-pt-1-submit",
      "title": "HMS-HBAC fastai large Pt. 1 [Submit]",
      "source": "live",
      "kernel_id": "53611952"
    },
    {
      "ref": "lisarosee/there-model-ensemble-lb-0-3",
      "title": "There Model Ensemble [LB 0.3] ",
      "source": "live",
      "kernel_id": "53611824"
    },
    {
      "ref": "whiteram/hms-create-spectrogram-by-torchlibrosa",
      "title": "HMS create spectrogram by TorchLibrosa ",
      "source": "live",
      "kernel_id": "53599579"
    },
    {
      "ref": "wispvale/lb-multi-2d-ensemble",
      "title": "LB multi&2D ensemble",
      "source": "live",
      "kernel_id": "53584791"
    },
    {
      "ref": "kennethpirman/rc-spectrogram",
      "title": "RC Spectrogram",
      "source": "live",
      "kernel_id": "53575457"
    },
    {
      "ref": "beckpro/dilated-inception-gru-0-46-lb",
      "title": "Dilated Inception GRU[0.46 LB]",
      "source": "live",
      "kernel_id": "53539602"
    },
    {
      "ref": "qamarmath/training-resnet18d-for-multi-label-brain-activity",
      "title": "\"Training ResNet18d for Multi-Label Brain Activity",
      "source": "live",
      "kernel_id": "53524698"
    },
    {
      "ref": "simgarin/graph-maker",
      "title": "Graph maker",
      "source": "live",
      "kernel_id": "53518471"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-lstm-model",
      "title": "Harmful Brain Activity - LSTM Model",
      "source": "live",
      "kernel_id": "53516270"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-gru-model",
      "title": "Harmful Brain Activity - GRU Model ",
      "source": "live",
      "kernel_id": "53515217"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-complex-rnn-model",
      "title": "Harmful Brain Activity - Complex RNN Model ",
      "source": "live",
      "kernel_id": "53514723"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-recurrent-nn-model",
      "title": "Harmful Brain Activity - Recurrent NN Model",
      "source": "live",
      "kernel_id": "53508861"
    },
    {
      "ref": "jeffreyurban/harmful-brain-activity-classification-tutorial",
      "title": "Harmful Brain Activity Classification - Tutorial",
      "source": "live",
      "kernel_id": "53495861"
    },
    {
      "ref": "vinitkp/wavenet-starter",
      "title": "WaveNet Starter",
      "source": "live",
      "kernel_id": "53488486"
    },
    {
      "ref": "sudipchakrabarty/hms-inference",
      "title": "HMS_Inference",
      "source": "live",
      "kernel_id": "53488119"
    },
    {
      "ref": "blkcunningham/eegproject2",
      "title": "eegProject2",
      "source": "live",
      "kernel_id": "53486370"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-swinv2-pt-2-submit",
      "title": "HMS-HBAC fastai swinv2 Pt. 2 [Submit]",
      "source": "live",
      "kernel_id": "53475587"
    },
    {
      "ref": "karinana/success-failure-analysis",
      "title": "Success-Failure Analysis",
      "source": "live",
      "kernel_id": "53470400"
    },
    {
      "ref": "khan1803115/hms-starter-notebook",
      "title": "HMS-Starter Notebook",
      "source": "live",
      "kernel_id": "53470182"
    },
    {
      "ref": "simgarin/notebook4fea90d534",
      "title": "notebook4fea90d534",
      "source": "live",
      "kernel_id": "53460427"
    },
    {
      "ref": "princelvov/train-resnet1d-gru-0-36lb",
      "title": "[train]Resnet1d_gru_0.36lb",
      "source": "live",
      "kernel_id": "53458791"
    },
    {
      "ref": "theeventhorizons/egg-to-spec-mne",
      "title": "EGG_to_spec MNE",
      "source": "live",
      "kernel_id": "53458373"
    },
    {
      "ref": "vinitkp/efficientnetb0-pytorch-starter",
      "title": "EfficientNetB0 Pytorch Starter",
      "source": "live",
      "kernel_id": "53451778"
    },
    {
      "ref": "gobyeonggeon/multimodal-spectrogram-raw-eeg-model-starter",
      "title": "Multimodal(spectrogram + raw eeg) model starter",
      "source": "live",
      "kernel_id": "53444567"
    },
    {
      "ref": "jimmyisme1/features-head-ker-only-lb-0-31-pb-0-38",
      "title": "Features+Head KER Only - lb 0.31 pb 0.38",
      "source": "live",
      "kernel_id": "53442766"
    },
    {
      "ref": "quan0095/hms-best-public-final",
      "title": "hms_best_public_final",
      "source": "live",
      "kernel_id": "53424936"
    },
    {
      "ref": "mohammadmkanna/eeg-scalograms",
      "title": "EEG_Scalograms",
      "source": "live",
      "kernel_id": "53404412"
    },
    {
      "ref": "richald/no-ensemble-new-spectrograms-label-refine",
      "title": "(No ensemble) - New Spectrograms + Label Refine",
      "source": "live",
      "kernel_id": "53402345"
    },
    {
      "ref": "praneeshkathirvel/basic-preprocessing-utility-script",
      "title": "basic_preprocessing_utility_script",
      "source": "live",
      "kernel_id": "53391593"
    },
    {
      "ref": "dariyankhan20/generate-first-third",
      "title": "generate_first_third",
      "source": "live",
      "kernel_id": "53386763"
    },
    {
      "ref": "kotokoonishi/hms-hbac-kerascv-starter-notebook",
      "title": "HMS-HBAC: KerasCV Starter Notebook",
      "source": "live",
      "kernel_id": "53371291"
    },
    {
      "ref": "haojungc/nick-hms-hbac-kerascv-starter-notebook",
      "title": "Nick-HMS-HBAC: KerasCV Starter Notebook",
      "source": "live",
      "kernel_id": "53371248"
    },
    {
      "ref": "gobyeonggeon/the-distribution-of-other-votes-is-a-key-point",
      "title": "The distribution of other votes is a key point",
      "source": "live",
      "kernel_id": "53369934"
    },
    {
      "ref": "simgarin/dataset-maker-final",
      "title": "Dataset Maker Final",
      "source": "live",
      "kernel_id": "53369272"
    },
    {
      "ref": "minhsienweng/three-models-resnet-efficientnetb2",
      "title": "Three models [Resnet + EfficientNetB2] ",
      "source": "live",
      "kernel_id": "53363765"
    },
    {
      "ref": "eduardotoloza/probability-estimation-of-epileptic-patterns",
      "title": "Probability Estimation of Epileptic Patterns",
      "source": "live",
      "kernel_id": "53361515"
    },
    {
      "ref": "esraal/classifier-harmful-brain-activity",
      "title": "Classifier -- Harmful Brain Activity ",
      "source": "live",
      "kernel_id": "53354230"
    },
    {
      "ref": "peluch/notebook52a92a1c33",
      "title": "notebook52a92a1c33",
      "source": "live",
      "kernel_id": "53304261"
    },
    {
      "ref": "cemuzzamil/hms-240324",
      "title": "HMS 240324",
      "source": "live",
      "kernel_id": "53304220"
    },
    {
      "ref": "rhubainmageswaran/hms-hbact-test3c-messy-submission",
      "title": "hms_hbact_test3c_messy_submission",
      "source": "live",
      "kernel_id": "53282615"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-vit-small-pt-2-train",
      "title": "HMS-HBAC fastai vit_small Pt. 2 [Train]",
      "source": "live",
      "kernel_id": "53277392"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-vit-small-pt-1-analysis",
      "title": "HMS-HBAC fastai vit_small Pt. 1 [Analysis]",
      "source": "live",
      "kernel_id": "53277330"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-vit-small-pt-1-train",
      "title": "HMS-HBAC fastai vit_small Pt. 1 [Train]",
      "source": "live",
      "kernel_id": "53277257"
    },
    {
      "ref": "princelvov/ica-catboost",
      "title": "ICA_Catboost",
      "source": "live",
      "kernel_id": "53269891"
    },
    {
      "ref": "mhsn21/harmful-brain-activity",
      "title": "Harmful_Brain_Activity",
      "source": "live",
      "kernel_id": "53262111"
    },
    {
      "ref": "qi7axu/there-model-ensemble-lb-0-3",
      "title": "There Model Ensemble [LB 0.3] ",
      "source": "live",
      "kernel_id": "53237104"
    },
    {
      "ref": "npusrc/eegnet-submission",
      "title": "eegnet-submission",
      "source": "live",
      "kernel_id": "53223024"
    },
    {
      "ref": "shouvikdey21/three-model-ensemble-lb-0-3",
      "title": "Three_Model_Ensemble_[LB 0.3] ",
      "source": "live",
      "kernel_id": "53191594"
    },
    {
      "ref": "annnnya/ucu-hms-inference",
      "title": "ucu-hms-inference",
      "source": "live",
      "kernel_id": "53163055"
    },
    {
      "ref": "peluch/rc-gru-model-eval",
      "title": "RC | GRU Model | Eval",
      "source": "live",
      "kernel_id": "53157704"
    },
    {
      "ref": "tadeofacosta/reporte-21-03-24-agregando-eeg",
      "title": "REPORTE 21/03/24 AGREGANDO EEG",
      "source": "live",
      "kernel_id": "53156549"
    },
    {
      "ref": "yarynafialko/ap-signal-classification",
      "title": "ap_signal_classification",
      "source": "live",
      "kernel_id": "53155009"
    },
    {
      "ref": "peluch/rc-model",
      "title": "RC |⚡️🧠 Model",
      "source": "live",
      "kernel_id": "53150223"
    },
    {
      "ref": "raufie/specs-based-inference",
      "title": "Specs Based Inference ",
      "source": "live",
      "kernel_id": "53125263"
    },
    {
      "ref": "utm529fg/there-model-ensemble-lb-0-29",
      "title": "There Model Ensemble [LB 0.29] ",
      "source": "live",
      "kernel_id": "53108490"
    },
    {
      "ref": "gauravbrills/hms-wavenet-gru-train-v3-diff-feats",
      "title": "HMS Wavenet-GRU Train v3 diff feats",
      "source": "live",
      "kernel_id": "53104583"
    },
    {
      "ref": "kennethpirman/rc-gru-model-eval",
      "title": "RC | GRU Model | Eval",
      "source": "live",
      "kernel_id": "53102094"
    },
    {
      "ref": "kennethpirman/rc-model",
      "title": "RC |⚡️🧠 Model",
      "source": "live",
      "kernel_id": "53097940"
    },
    {
      "ref": "npusrc/eegnet",
      "title": "eegnet",
      "source": "live",
      "kernel_id": "53086074"
    },
    {
      "ref": "isaiquintanilla/v15-03-24",
      "title": "V15/03/24",
      "source": "live",
      "kernel_id": "53066700"
    },
    {
      "ref": "isaiquintanilla/reporte-final-20-03-24",
      "title": "REPORTE FINAL 20/03/24",
      "source": "live",
      "kernel_id": "53065018"
    },
    {
      "ref": "krishagrawal/model-category-1-inference",
      "title": "Model Category 1 | Inference",
      "source": "live",
      "kernel_id": "53048170"
    },
    {
      "ref": "majiaqi111/there-model-ensemble-lb-0-3",
      "title": "There Model Ensemble [LB 0.3] ",
      "source": "live",
      "kernel_id": "53044818"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-vit-small-pt-2-submit",
      "title": "HMS-HBAC fastai vit_small Pt. 2 [Submit]",
      "source": "live",
      "kernel_id": "53029501"
    },
    {
      "ref": "rahimkk/hms-decision-tree-algorithm-randomforestclassifier",
      "title": "HMS-Decision Tree Algorithm/RandomForestClassifier",
      "source": "live",
      "kernel_id": "53027968"
    },
    {
      "ref": "karinana/classifier-harmful-brain-activity",
      "title": "Classifier -- Harmful Brain Activity ",
      "source": "live",
      "kernel_id": "53019394"
    },
    {
      "ref": "krishagrawal/hms-resnet101-training",
      "title": "HMS ResNet101 Training",
      "source": "live",
      "kernel_id": "53011966"
    },
    {
      "ref": "serjhenrique/hms-bac-train-test-split",
      "title": "hms-bac train test split",
      "source": "live",
      "kernel_id": "53003684"
    },
    {
      "ref": "rhubainmageswaran/hms-hbac-test3-a-messy",
      "title": "hms_hbac_test3_a_messy",
      "source": "live",
      "kernel_id": "52981765"
    },
    {
      "ref": "mianwang1024/ensemble",
      "title": "ensemble",
      "source": "live",
      "kernel_id": "52964748"
    },
    {
      "ref": "peluch/rc-skinny-model",
      "title": "RC | Skinny Model",
      "source": "live",
      "kernel_id": "52941853"
    },
    {
      "ref": "majiaqi111/four-model-ensemble",
      "title": "Four Model Ensemble",
      "source": "live",
      "kernel_id": "52928838"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-polynomial-regression",
      "title": "Harmful Brain Activity - Polynomial Regression",
      "source": "live",
      "kernel_id": "52923233"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-mice-imputation-ml",
      "title": "Harmful Brain Activity - MICE Imputation // ML",
      "source": "live",
      "kernel_id": "52922202"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-boosting-methods-ml",
      "title": "Harmful Brain Activity - Boosting Methods // ML",
      "source": "live",
      "kernel_id": "52920807"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-outliers-scaling-etc",
      "title": "Harmful Brain Activity - Outliers / Scaling etc",
      "source": "live",
      "kernel_id": "52904435"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-linear-regression-model",
      "title": "Harmful Brain Activity - Linear Regression Model",
      "source": "live",
      "kernel_id": "52903781"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-eda-train-and-test-ml",
      "title": "Harmful Brain Activity - EDA / Train and Test / ML",
      "source": "live",
      "kernel_id": "52903158"
    },
    {
      "ref": "anrenk/hms-spectrogram-pytorch",
      "title": "HMS spectrogram pytorch",
      "source": "live",
      "kernel_id": "52899823"
    },
    {
      "ref": "vjdlalfkef/brain",
      "title": "brain",
      "source": "live",
      "kernel_id": "52894856"
    },
    {
      "ref": "konstantinboyko/hms-neuronal-travelling-waves-1-stage-infer-v102-3",
      "title": "HMS Neuronal Travelling Waves 1-Stage Infer v102-3",
      "source": "live",
      "kernel_id": "52881415"
    },
    {
      "ref": "konstantinboyko/hms-neuronal-travelling-waves-1-stage-train-v102-3",
      "title": "HMS Neuronal Travelling Waves 1-Stage Train v102-3",
      "source": "live",
      "kernel_id": "52881219"
    },
    {
      "ref": "ajpath/fork-of-resnet1d-vit-dinov2",
      "title": "Fork of ResNet1D & ViT & DinoV2",
      "source": "live",
      "kernel_id": "52878967"
    },
    {
      "ref": "humaperveen/hms-two-model-ensemble",
      "title": "HMS: Two Model Ensemble",
      "source": "live",
      "kernel_id": "52878743"
    },
    {
      "ref": "humaperveen/hms-inference",
      "title": "HMS_Inference",
      "source": "live",
      "kernel_id": "52878708"
    },
    {
      "ref": "nartaa/two-model-ensemble-lb-0-32",
      "title": "Two Model Ensemble [LB 0.32]",
      "source": "live",
      "kernel_id": "52864990"
    },
    {
      "ref": "tezdhar/mk-sub-1",
      "title": "mk_sub_1",
      "source": "live",
      "kernel_id": "52860091"
    },
    {
      "ref": "minhtutx/cnn-self-attention-hbac",
      "title": "CNN + Self-attention - HBAC",
      "source": "live",
      "kernel_id": "52791931"
    },
    {
      "ref": "nartaa/inference-features-head-starter-k-e-ke",
      "title": "[Inference] Features+Head Starter [K+E+KE]",
      "source": "live",
      "kernel_id": "52784816"
    },
    {
      "ref": "pollicio/hms-resnet1d-gru-v22-human-6-train-chile",
      "title": "HMS Resnet1d GRU v22 Human-6 Train_chile",
      "source": "live",
      "kernel_id": "52751707"
    },
    {
      "ref": "yowamishi/hms-hbac-kerascv-starter-notebook",
      "title": "HMS-HBAC: KerasCV Starter Notebook 初心者向け日本語解説",
      "source": "live",
      "kernel_id": "52743142"
    },
    {
      "ref": "cody11null/diversity-ensemble",
      "title": "Diversity Ensemble",
      "source": "live",
      "kernel_id": "52738921"
    },
    {
      "ref": "hoangkim3000/create-eeg-snippets",
      "title": "create eeg snippets",
      "source": "live",
      "kernel_id": "52723017"
    },
    {
      "ref": "mkotyushev/16th-place-hms",
      "title": "16th place - HMS",
      "source": "live",
      "kernel_id": "52720077"
    },
    {
      "ref": "zijiangyang1116/a2403001",
      "title": "A2403001",
      "source": "live",
      "kernel_id": "52717047"
    },
    {
      "ref": "jasperpieterse/hms-parallel-eegnet-training",
      "title": " HMS - Parallel EEGNet [Training]",
      "source": "live",
      "kernel_id": "52702058"
    },
    {
      "ref": "masakazuhiromatsu/hms-create-datasets-npy-datasets",
      "title": "HMS | Create Datasets npy Datasets",
      "source": "live",
      "kernel_id": "52682055"
    },
    {
      "ref": "caelhasse/inceptbottletransformer-train-cv-0-67-lb-0-51",
      "title": "InceptBottleTransformer Train CV:0.67 LB:0.51",
      "source": "live",
      "kernel_id": "52681967"
    },
    {
      "ref": "mendesheitor/sub24-efficientnet-v2-s-train",
      "title": "sub24_EfficientNet_v2_s_train",
      "source": "live",
      "kernel_id": "52673398"
    },
    {
      "ref": "eugeneshalli/autoencoder-embeddings-model-inference",
      "title": "AutoEncoder+Embeddings Model Inference",
      "source": "live",
      "kernel_id": "52669079"
    },
    {
      "ref": "ryankim17920/variational-auto-encoder-analysis",
      "title": "Variational Auto Encoder analysis",
      "source": "live",
      "kernel_id": "52667612"
    },
    {
      "ref": "racemuis/ensemble2-efficientnetv2-resnet",
      "title": "Ensemble2_EfficientNetV2_Resnet",
      "source": "live",
      "kernel_id": "52657472"
    },
    {
      "ref": "konstantinboyko/hms-resnet1d-gru-ensemble",
      "title": "HMS Resnet1d GRU Ensemble",
      "source": "live",
      "kernel_id": "52651078"
    },
    {
      "ref": "myrthekouwenhoven/hms-1d-parallel-eegnet-inference",
      "title": " HMS - 1D PARALLEL EEGNet [Inference]",
      "source": "live",
      "kernel_id": "52651061"
    },
    {
      "ref": "myrthekouwenhoven/hms-parallel-1d-eegnet-training",
      "title": " HMS - PARALLEL 1D EEGNet [Training]",
      "source": "live",
      "kernel_id": "52650903"
    },
    {
      "ref": "myrthekouwenhoven/hms-1d-eegnet-training",
      "title": " HMS - 1D EEGNet [Training]",
      "source": "live",
      "kernel_id": "52650735"
    },
    {
      "ref": "rachelknol/inference-model-efficientnet-wavenet-eegnet",
      "title": "Inference Model: EfficientNet, WaveNet, EEGNet",
      "source": "live",
      "kernel_id": "52649798"
    },
    {
      "ref": "daoyuanwang/attend-try",
      "title": "attend-try",
      "source": "live",
      "kernel_id": "52647726"
    },
    {
      "ref": "mattinjersey/fun-efficientnetb0-starter",
      "title": "Fun_EfficientNetB0 Starter ",
      "source": "live",
      "kernel_id": "52621990"
    },
    {
      "ref": "moyuto/chris-s-preprocessing-explanation-for-myself",
      "title": "CHRIS's preprocessing explanation for myself",
      "source": "live",
      "kernel_id": "52618401"
    },
    {
      "ref": "q1master/fork-of-fork-of-infer-features-head-starter",
      "title": "Fork of Fork of [Infer] Features+Head Starter",
      "source": "live",
      "kernel_id": "52586115"
    },
    {
      "ref": "mariekevanvreeswijk/inference-5-meta-model",
      "title": "Inference 5 (meta model)",
      "source": "live",
      "kernel_id": "52582627"
    },
    {
      "ref": "prabhashkumarjha/harmful-brain-activity-classification-with-auto-ml",
      "title": "Harmful Brain Activity Classification with Auto ML",
      "source": "live",
      "kernel_id": "52580379"
    },
    {
      "ref": "ringoooo/hms-1d-eegnet-inference",
      "title": " HMS - 1D EEGNet [Inference]",
      "source": "live",
      "kernel_id": "52575670"
    },
    {
      "ref": "ringoooo/hms-1d-eegnet-training",
      "title": " HMS - 1D EEGNet [Training]",
      "source": "live",
      "kernel_id": "52575577"
    },
    {
      "ref": "gregblast/brain-boy-base",
      "title": "Brain Boy Base",
      "source": "live",
      "kernel_id": "52558226"
    },
    {
      "ref": "ryanirl/hms-baseline-sub",
      "title": "hms_baseline_sub",
      "source": "live",
      "kernel_id": "52551258"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-eda-analysis-99-acc",
      "title": "Harmful Brain Activity / EDA Analysis - 99% Acc ",
      "source": "live",
      "kernel_id": "52514545"
    },
    {
      "ref": "conormcmullan/hms-tda",
      "title": "HMS TDA",
      "source": "live",
      "kernel_id": "52512129"
    },
    {
      "ref": "mariekevanvreeswijk/training-meta",
      "title": "Training meta",
      "source": "live",
      "kernel_id": "52488337"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-convnext-small-pt-2-submit",
      "title": "HMS-HBAC fastai convnext_small Pt 2. [Submit]",
      "source": "live",
      "kernel_id": "52465821"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-convnext-small-pt-2-train",
      "title": "HMS-HBAC fastai convnext_small Pt. 2 [Train]",
      "source": "live",
      "kernel_id": "52463417"
    },
    {
      "ref": "gauravbrills/eeg-wave-gru-quad-tail",
      "title": "EEG Wave Gru Quad tail ",
      "source": "live",
      "kernel_id": "52457501"
    },
    {
      "ref": "dmitryshibaev/hms-model",
      "title": "hms-model",
      "source": "live",
      "kernel_id": "52438610"
    },
    {
      "ref": "dmitryshibaev/hms-spectr-model",
      "title": "hms-spectr-model",
      "source": "live",
      "kernel_id": "52432131"
    },
    {
      "ref": "luepoe/lb-0-46-dilatedinception-wavenet-inference",
      "title": "[LB 0.46] DilatedInception WaveNet - Inference",
      "source": "live",
      "kernel_id": "52428026"
    },
    {
      "ref": "konstantinboyko/hms-full-validation-2-stage-s-train-infer",
      "title": "HMS Full Validation 2 Stage's Train & Infer",
      "source": "live",
      "kernel_id": "52427776"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-multi-layer-perceptron",
      "title": "Harmful Brain Activity / Multi-Layer Perceptron",
      "source": "live",
      "kernel_id": "52419910"
    },
    {
      "ref": "ghatotkachhhbruhhhh/visiontransformertiny",
      "title": "visiontransformertiny",
      "source": "live",
      "kernel_id": "52404466"
    },
    {
      "ref": "chiyoungshin/hms-hbac-cyshbk-01",
      "title": "hms-hbac_cyshbk_01",
      "source": "live",
      "kernel_id": "52402916"
    },
    {
      "ref": "rath024/notebookb27370c568",
      "title": "notebookb27370c568",
      "source": "live",
      "kernel_id": "52399354"
    },
    {
      "ref": "adibvafafallahpour/features-head-starter",
      "title": "Features+Head Starter",
      "source": "live",
      "kernel_id": "52377035"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-naive-bayes-algorithm",
      "title": "Harmful Brain Activity / Naive Bayes Algorithm",
      "source": "live",
      "kernel_id": "52369772"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-random-forest-algorithm",
      "title": "Harmful Brain Activity / Random Forest Algorithm ",
      "source": "live",
      "kernel_id": "52369582"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-lasso-regression-model",
      "title": "Harmful Brain Activity / Lasso Regression Model",
      "source": "live",
      "kernel_id": "52369320"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-ridge-linear-regression",
      "title": "Harmful Brain Activity / Ridge & Linear Regression",
      "source": "live",
      "kernel_id": "52358368"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-convnext-small-pt-1-analysis",
      "title": "HMS-HBAC fastai convnext_small Pt. 1 [Analysis]",
      "source": "live",
      "kernel_id": "52333720"
    },
    {
      "ref": "aarishasifkhan/harmful-brain-activity-classification-k-nn-model",
      "title": "Harmful Brain Activity Classification / K-NN Model",
      "source": "live",
      "kernel_id": "52308500"
    },
    {
      "ref": "luepoe/lb-0-46-dilatedinception-wavenet-training",
      "title": "[LB 0.46] DilatedInception WaveNet - Training",
      "source": "live",
      "kernel_id": "52308462"
    },
    {
      "ref": "luepoe/wavenet-starter-lb-0-66",
      "title": "WaveNet Starter - [LB 0.66]",
      "source": "live",
      "kernel_id": "52305224"
    },
    {
      "ref": "luepoe/catboost-starter-lb-0-67",
      "title": "CatBoost Starter - [LB 0.67]",
      "source": "live",
      "kernel_id": "52304764"
    },
    {
      "ref": "bhanpuramufaddal2/transformermodelv1",
      "title": "TransformerModelv1",
      "source": "live",
      "kernel_id": "52302777"
    },
    {
      "ref": "naomideenen/inference",
      "title": "Inference",
      "source": "live",
      "kernel_id": "52298989"
    },
    {
      "ref": "juliuslandsman/mlip-group-12-final-ensemble",
      "title": "MLiP Group 12 Final Ensemble",
      "source": "live",
      "kernel_id": "52297760"
    },
    {
      "ref": "isaiquintanilla/yaporfavor",
      "title": "yaporfavor",
      "source": "live",
      "kernel_id": "52251700"
    },
    {
      "ref": "eliaschiavon/data-exploration-from-zero-to-spectrograms",
      "title": "Data exploration: from zero to spectrograms",
      "source": "live",
      "kernel_id": "52250489"
    },
    {
      "ref": "bananaaaaaa/sparcnet-working",
      "title": "SparcNet Working",
      "source": "live",
      "kernel_id": "52236189"
    },
    {
      "ref": "stijnvanzon2000/ensemble-model-catbboost-wavenet-features-head",
      "title": "Ensemble model: CatbBoost, Wavenet, features+head",
      "source": "live",
      "kernel_id": "52220456"
    },
    {
      "ref": "konstantinboyko/hms-resnet1d-gru-1-stage-inference-1-5-signal",
      "title": "HMS Resnet1d GRU 1-Stage Inference - 1 / 5 Signal",
      "source": "live",
      "kernel_id": "52214626"
    },
    {
      "ref": "konstantinboyko/hms-resnet1d-gru-1-stage-train-1-5-signal",
      "title": "HMS Resnet1d GRU 1-Stage Train - 1 / 5 Signal",
      "source": "live",
      "kernel_id": "52213584"
    },
    {
      "ref": "pshikk/densenet",
      "title": "DenseNet",
      "source": "live",
      "kernel_id": "52213230"
    },
    {
      "ref": "minhsienweng/infer-three-models-of-resnet-efficientnetb2",
      "title": "[Infer] Three models of Resnet + EfficientNetB2",
      "source": "live",
      "kernel_id": "52200959"
    },
    {
      "ref": "quan0095/find-nan",
      "title": "find nan",
      "source": "live",
      "kernel_id": "52200132"
    },
    {
      "ref": "luepoe/hms-multiple-model-ensemble-4-notebooks-19b844",
      "title": "HMS: Multiple Model Ensemble (4 Notebooks)  19b844",
      "source": "live",
      "kernel_id": "52192585"
    },
    {
      "ref": "konstantinboyko/hms-resnet1d-gru-inference-1-5-dataset",
      "title": "HMS Resnet1d GRU Inference - 1 / 5 Dataset",
      "source": "live",
      "kernel_id": "52190303"
    },
    {
      "ref": "konstantinboyko/hms-resnet1d-gru-train-1-5-dataset",
      "title": "HMS Resnet1d GRU Train - 1 / 5 Dataset",
      "source": "live",
      "kernel_id": "52190206"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-convnext-small-pt-1-train",
      "title": "HMS-HBAC fastai convnext_small Pt. 1 [Train]",
      "source": "live",
      "kernel_id": "52188094"
    },
    {
      "ref": "nityaakalra/edafinal",
      "title": "EDAFinal",
      "source": "live",
      "kernel_id": "52187647"
    },
    {
      "ref": "bananaaaaaa/features-head-starter-sparcnet",
      "title": "Features+Head Starter + SPaRCNet",
      "source": "live",
      "kernel_id": "52166785"
    },
    {
      "ref": "anrenk/hms-classification-classic",
      "title": "HMS classification classic",
      "source": "live",
      "kernel_id": "52166612"
    },
    {
      "ref": "npusrc/hms-efficientnetb2-src",
      "title": "hms-efficientnetb2-src",
      "source": "live",
      "kernel_id": "52165926"
    },
    {
      "ref": "pshikk/mobilenet-overfits",
      "title": "MobileNet Overfits?",
      "source": "live",
      "kernel_id": "52156491"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-planning-small-model-experiments",
      "title": "HMS-HBAC fastai Planning Small Model Experiments",
      "source": "live",
      "kernel_id": "52134508"
    },
    {
      "ref": "walkingwizard0/stft-cnn-model",
      "title": "STFT CNN Model",
      "source": "live",
      "kernel_id": "52121723"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-tta-submit",
      "title": "HMS-HBAC fastai TTA [Submit]",
      "source": "live",
      "kernel_id": "52120038"
    },
    {
      "ref": "dariyankhan20/basic-preprocessing-utility-script",
      "title": "basic_preprocessing_utility_script",
      "source": "live",
      "kernel_id": "52108988"
    },
    {
      "ref": "nartaa/hms-eeg-signal-processing",
      "title": "HMS EEG Signal Processing",
      "source": "live",
      "kernel_id": "52104904"
    },
    {
      "ref": "seoyunje/hms-fir-filter-two-chains-practice",
      "title": "HMS - FIR Filter & Two Chains(Practice)",
      "source": "live",
      "kernel_id": "52087952"
    },
    {
      "ref": "yijiangzhengjianhu/hms-kaggle-both",
      "title": "hms:kaggle_both",
      "source": "live",
      "kernel_id": "52083595"
    },
    {
      "ref": "dickblankvoort/ensemble-tests",
      "title": "Ensemble tests",
      "source": "live",
      "kernel_id": "52054237"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-stacked-images-submit",
      "title": "HMS-HBAC fastai Stacked Images [Submit]",
      "source": "live",
      "kernel_id": "52052548"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-stacked-images-train",
      "title": "HMS-HBAC fastai Stacked Images [Train]",
      "source": "live",
      "kernel_id": "52050524"
    },
    {
      "ref": "micha20/hms-mlip-15-training-efficientnet",
      "title": "HMS | MLiP 15 Training EfficientNet",
      "source": "live",
      "kernel_id": "52034819"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-resnet34-starter-submit",
      "title": "HMS-HBAC fastai Resnet34 Starter [Submit]",
      "source": "live",
      "kernel_id": "52013509"
    },
    {
      "ref": "brenolfreitas/breno-ensemble-efficientnet-wavenet",
      "title": "Breno - Ensemble EfficientNet + WaveNet",
      "source": "live",
      "kernel_id": "52005686"
    },
    {
      "ref": "iglovikov/mixup-aug-in-albumentations",
      "title": "MixUp aug in Albumentations",
      "source": "live",
      "kernel_id": "52004772"
    },
    {
      "ref": "konstantinboyko/hms-resnet1d-gru-v22-human-6-train",
      "title": "HMS Resnet1d GRU v22 Human-6 Train",
      "source": "live",
      "kernel_id": "52002240"
    },
    {
      "ref": "konstantinboyko/hms-resnet1d-gru-v33-human-5-stage-1-train",
      "title": "HMS Resnet1d GRU v33 Human-5 Stage 1 Train",
      "source": "live",
      "kernel_id": "52001724"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-resnet34-starter-train",
      "title": "HMS-HBAC fastai Resnet34 Starter [Train]",
      "source": "live",
      "kernel_id": "51996785"
    },
    {
      "ref": "user0938479/finalsubmission7",
      "title": "FinalSubmission7",
      "source": "live",
      "kernel_id": "51995885"
    },
    {
      "ref": "sacuscreed/channel-attention-hybrid-transformer",
      "title": "Channel Attention Hybrid Transformer",
      "source": "live",
      "kernel_id": "51993764"
    },
    {
      "ref": "serhiikharchuk/efficientnetb2-not-working",
      "title": "EfficientNetB2-not working",
      "source": "live",
      "kernel_id": "51992055"
    },
    {
      "ref": "kimbladder/hms-mlip-15-training-wavenet",
      "title": "HMS | MLiP 15 - Training WaveNet",
      "source": "live",
      "kernel_id": "51989293"
    },
    {
      "ref": "isaiquintanilla/chekandooo",
      "title": "chekandooo",
      "source": "live",
      "kernel_id": "51988561"
    },
    {
      "ref": "jaytonde/ensemble-efficientnetb0-5-folds-1-lb-0-39",
      "title": "Ensemble : EfficientNetB0 5 Folds + 1 [LB 0.39]",
      "source": "live",
      "kernel_id": "51981000"
    },
    {
      "ref": "maudvandelockant/ensemble-wavenet-and-efficientnet",
      "title": "Ensemble Wavenet and Efficientnet",
      "source": "live",
      "kernel_id": "51973467"
    },
    {
      "ref": "eugeneshalli/autoencoder-baseline",
      "title": "AutoEncoder Baseline",
      "source": "live",
      "kernel_id": "51972326"
    },
    {
      "ref": "shourjyo/open-lab-project",
      "title": "Open lab project",
      "source": "live",
      "kernel_id": "51965226"
    },
    {
      "ref": "utsavsinghal2604/hms-hbac-code",
      "title": "HMS-HBAC Code",
      "source": "live",
      "kernel_id": "51960026"
    },
    {
      "ref": "vishalbakshi/hms-hbac-fastai-starter-notebook",
      "title": "HMS-HBAC fastai Starter Notebook",
      "source": "live",
      "kernel_id": "51895543"
    },
    {
      "ref": "mariesophiesimon/statisticclassification",
      "title": "StatisticClassification",
      "source": "live",
      "kernel_id": "51822041"
    },
    {
      "ref": "fldlsklt/inception-v3",
      "title": "inception_v3",
      "source": "live",
      "kernel_id": "51799509"
    },
    {
      "ref": "suzukisatsuki/eeg-specs-using-randam-sampling",
      "title": "EEG Specs using Randam Sampling (+日本語) ",
      "source": "live",
      "kernel_id": "51796113"
    },
    {
      "ref": "coldfir3/dummy-predictions",
      "title": "Dummy predictions",
      "source": "live",
      "kernel_id": "51777863"
    },
    {
      "ref": "mcwema/hms-hbac-infer-tflow-2-15-keras-2-15-lb-0-52",
      "title": "HMS HBAC INFER TFlow 2.15 Keras 2.15 [lb 0.52]",
      "source": "live",
      "kernel_id": "51774316"
    },
    {
      "ref": "mcwema/hms-hbac-train-tf2-15-keras3-0-2-tpu",
      "title": "HMS HBAC TRAIN TF2.15 Keras3.0.2 TPU ",
      "source": "live",
      "kernel_id": "51772830"
    },
    {
      "ref": "ryankim17920/variational-auto-encoder-training",
      "title": "Variational Auto Encoder training",
      "source": "live",
      "kernel_id": "51768080"
    },
    {
      "ref": "naomideenen/train-spectrograms",
      "title": "Train_spectrograms",
      "source": "live",
      "kernel_id": "51754610"
    },
    {
      "ref": "hidetaketakahashi/hms-findpatternbycnn",
      "title": "HMS-FindPatternbyCNN",
      "source": "live",
      "kernel_id": "51752810"
    },
    {
      "ref": "hidetaketakahashi/hms-cnn-spectrogram-short",
      "title": "HMS-CNN-Spectrogram-Short",
      "source": "live",
      "kernel_id": "51747498"
    },
    {
      "ref": "roger92/hms-data-aug-module-learning",
      "title": "HMS|Data Aug Module Learning🔎",
      "source": "live",
      "kernel_id": "51745992"
    },
    {
      "ref": "konstantinboyko/hms-resnet1d-gru-v33-human-5-stage-1-inference",
      "title": "HMS Resnet1d GRU v33 Human-5 Stage 1 Inference",
      "source": "live",
      "kernel_id": "51737838"
    },
    {
      "ref": "icozma/hms-pyspark-exercise",
      "title": "HMS-PySpark-exercise",
      "source": "live",
      "kernel_id": "51720360"
    },
    {
      "ref": "neusvegas/hms-train-efficientnetb1-less-than-4-removed",
      "title": "HMS: Train EfficientNetB1 - less than 4 removed",
      "source": "live",
      "kernel_id": "51710143"
    },
    {
      "ref": "icozma/brain-activity-some-visual-analysis",
      "title": "brain-activity-some-visual-analysis",
      "source": "live",
      "kernel_id": "51704585"
    },
    {
      "ref": "dataanalojisan/my-super-simple-randomforest-baseline",
      "title": "🧠⚡My Super Simple RandomForest Baseline⚡🧠",
      "source": "live",
      "kernel_id": "51691391"
    },
    {
      "ref": "ajr094/hms-harmful-brain-activity-detailed",
      "title": "HMS - Harmful Brain Activity [Detailed]💯",
      "source": "live",
      "kernel_id": "51652792"
    },
    {
      "ref": "jaytonde/possible-augmentations-for-eeg-graph",
      "title": "Possible augmentations for EEG Graph",
      "source": "live",
      "kernel_id": "51649031"
    },
    {
      "ref": "konstantinboyko/hms-resnet1d-gru-v22-human-6-inference",
      "title": "HMS Resnet1d GRU v22 Human-6 Inference",
      "source": "live",
      "kernel_id": "51648846"
    },
    {
      "ref": "theeventhorizons/understanding-the-basics-of-mne",
      "title": "Understanding the basics of MNE",
      "source": "live",
      "kernel_id": "51638865"
    },
    {
      "ref": "raunakkrishanjaiswal/hms-raunak",
      "title": "HMS_raunak",
      "source": "live",
      "kernel_id": "51637941"
    },
    {
      "ref": "fmgsf12/effnetb0-dbbkagglehann1channel-freqmask128",
      "title": "EffNetB0-DBBKaggleHann1Channel-FreqMask128",
      "source": "live",
      "kernel_id": "51637442"
    },
    {
      "ref": "vladimirsydor/ucu-hms-inference",
      "title": "ucu-hms-inference",
      "source": "live",
      "kernel_id": "51623299"
    },
    {
      "ref": "topbrandonr/notebookd9e4afcabe",
      "title": "notebookd9e4afcabe",
      "source": "live",
      "kernel_id": "51623221"
    },
    {
      "ref": "whiteram/hms-submission-eegpt-pb-pipeline-lightning",
      "title": "HMS Submission - EEGPT Pb Pipeline Lightning",
      "source": "live",
      "kernel_id": "51611690"
    },
    {
      "ref": "seoyunje/hms-tuh-10min-spectrogram",
      "title": "HMS - TUH 10min Spectrogram",
      "source": "live",
      "kernel_id": "51604979"
    },
    {
      "ref": "tarndeepsingh16/hms-harmful-brain-activity-classification",
      "title": "HMS - Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "51594992"
    },
    {
      "ref": "neusvegas/hms-train-resnet34d-less-than-4-removed",
      "title": "HMS: Train ResNet34d - less than 4 removed",
      "source": "live",
      "kernel_id": "51584720"
    },
    {
      "ref": "ryankim17920/hms-3-x-speed-multiple-model-ensemble-lb-0-35",
      "title": "HMS: 3 x Speed Multiple Model Ensemble (LB: 0.35)",
      "source": "live",
      "kernel_id": "51549984"
    },
    {
      "ref": "ajenningsfrankston/bispectrum2d-64x64-from-eeg",
      "title": "Bispectrum2D (64x64) from eeg",
      "source": "live",
      "kernel_id": "51545780"
    },
    {
      "ref": "alyaaka/hms-harmful-brain-activity-classification",
      "title": "hms-harmful-brain-activity-classification",
      "source": "live",
      "kernel_id": "51537927"
    },
    {
      "ref": "snopoff/gnns-meets-hms-only-train",
      "title": "GNNs meets HMS (only train)",
      "source": "live",
      "kernel_id": "51536573"
    },
    {
      "ref": "hidetaketakahashi/hms-eda-confidence-of-diagnosis",
      "title": "HMS-EDA_Confidence_Of_Diagnosis",
      "source": "live",
      "kernel_id": "51527661"
    },
    {
      "ref": "sacuscreed/label-smoothing-semisupervised-loss",
      "title": "Label smoothing semisupervised Loss",
      "source": "live",
      "kernel_id": "51525249"
    },
    {
      "ref": "jasperpieterse/hms-eegnet-inference",
      "title": " HMS - EEGNet [Inference]",
      "source": "live",
      "kernel_id": "51508479"
    },
    {
      "ref": "medali1992/hms-efficientnetb0-inference",
      "title": "HMS EfficientNetB0 Inference",
      "source": "live",
      "kernel_id": "51493736"
    },
    {
      "ref": "narareddy/classify-brain-activity-pretrained-mobilenet-v2",
      "title": "Classify Brain Activity | Pretrained MobileNet_V2",
      "source": "live",
      "kernel_id": "51492986"
    },
    {
      "ref": "medali1992/hms-efficientnetb0-train",
      "title": "HMS EfficientNetB0 Train",
      "source": "live",
      "kernel_id": "51484142"
    },
    {
      "ref": "medali1992/hms-resnet50-spark-inference",
      "title": "HMS Resnet50 SparK Inference",
      "source": "live",
      "kernel_id": "51476296"
    },
    {
      "ref": "vkp123/final-hms-with-mobilenetv2",
      "title": "Final_hms_with_MobileNetV2 ",
      "source": "live",
      "kernel_id": "51472582"
    },
    {
      "ref": "daoyuanwang/efficientnetb2-starter-lb-0-57",
      "title": "EfficientNetB2 Starter - [LB 0.57]",
      "source": "live",
      "kernel_id": "51471771"
    },
    {
      "ref": "shaileshshettyd/neuroblast-adventures-in-brain-waves",
      "title": "NeuroBlast: Adventures in Brain Waves",
      "source": "live",
      "kernel_id": "51464243"
    },
    {
      "ref": "michalinahulak/playing-with-metric-and-target",
      "title": "playing with metric and target",
      "source": "live",
      "kernel_id": "51461642"
    },
    {
      "ref": "gobyeonggeon/signal-features-eda-xgb-classifier",
      "title": "Signal Features + EDA + XGB classifier",
      "source": "live",
      "kernel_id": "51391784"
    },
    {
      "ref": "user0938479/gradboosttrainnew",
      "title": "GradBoostTrainNEW",
      "source": "live",
      "kernel_id": "51284722"
    },
    {
      "ref": "bhanpuramufaddal2/grumodelv1",
      "title": "GruModelv1",
      "source": "live",
      "kernel_id": "51282534"
    },
    {
      "ref": "michielpieters/testneural",
      "title": "TestNeural",
      "source": "live",
      "kernel_id": "51277808"
    },
    {
      "ref": "medali1992/hms-resnet50-spark-train",
      "title": "HMS Resnet50 SparK Train",
      "source": "live",
      "kernel_id": "51276922"
    },
    {
      "ref": "kalfasyan/how-to-make-spectrogram-from-eeg",
      "title": "How To Make Spectrogram from EEG",
      "source": "live",
      "kernel_id": "51276792"
    },
    {
      "ref": "jasperpieterse/hms-eegnet-training",
      "title": " HMS - EEGNet [Training]",
      "source": "live",
      "kernel_id": "51274147"
    },
    {
      "ref": "neusvegas/hms-train-efficientnetb0-less-than-4-removed",
      "title": "HMS: Train EfficientNetB0 - Less than 4 removed",
      "source": "live",
      "kernel_id": "51272726"
    },
    {
      "ref": "peperico/notebook2a4a35052e",
      "title": "notebook2a4a35052e",
      "source": "live",
      "kernel_id": "51267837"
    },
    {
      "ref": "annaxshang/simple-eda-and-data-processing",
      "title": "Simple EDA and Data Processing",
      "source": "live",
      "kernel_id": "51243523"
    },
    {
      "ref": "dmitryshibaev/hms-plot-eeg",
      "title": "HMS Plot - EEG",
      "source": "live",
      "kernel_id": "51232997"
    },
    {
      "ref": "adithyahegdekota/notebook50ad923e8d",
      "title": "notebook50ad923e8d",
      "source": "live",
      "kernel_id": "51231066"
    },
    {
      "ref": "anilyagiz/hms-multiple-model-ensemble-4-notebooks-19b844",
      "title": "HMS: Multiple Model Ensemble (4 Notebooks)  19b844",
      "source": "live",
      "kernel_id": "51228813"
    },
    {
      "ref": "sacuscreed/custom-gatconv",
      "title": "custom GATConv",
      "source": "live",
      "kernel_id": "51225933"
    },
    {
      "ref": "arefbagherzadeh/starter-aref",
      "title": "starter Aref ",
      "source": "live",
      "kernel_id": "51217820"
    },
    {
      "ref": "racimmenasria/hms-hbac-kerascv-starter-notebook-0738d5",
      "title": "HMS-HBAC: KerasCV Starter Notebook 0738d5",
      "source": "live",
      "kernel_id": "51211857"
    },
    {
      "ref": "leeseojun00/hms-ai-spec-practice",
      "title": "HMS-ai-spec-practice",
      "source": "live",
      "kernel_id": "51204418"
    },
    {
      "ref": "vinzileo/hms-0-36lb",
      "title": "HMS-0.36LB",
      "source": "live",
      "kernel_id": "51200201"
    },
    {
      "ref": "marrrccccch/hms-mine",
      "title": "HMS_mine",
      "source": "live",
      "kernel_id": "51199161"
    },
    {
      "ref": "walkingperson/fork-of-hms-version",
      "title": "Fork of HMS짬뽕version",
      "source": "live",
      "kernel_id": "51196798"
    },
    {
      "ref": "mountainha/hms-blend-all-torch-publicmodel-simpleblend-lb-37",
      "title": "HMS[BLEND]All Torch PublicModel SimpleBlend[LB.37]",
      "source": "live",
      "kernel_id": "51195945"
    },
    {
      "ref": "sdkaklsgsfg/hms-05",
      "title": "HMS-05",
      "source": "live",
      "kernel_id": "51194983"
    },
    {
      "ref": "mountainha/hms-multiple-model-ensemble-lb-0-35",
      "title": "HMS: Multiple Model Ensemble (LB: 0.35)",
      "source": "live",
      "kernel_id": "51194891"
    },
    {
      "ref": "kimdonguk89/ensemble-v2",
      "title": "Ensemble v2",
      "source": "live",
      "kernel_id": "51194350"
    },
    {
      "ref": "seanbearden/processing-the-tuh-eeg-seizure-corpus",
      "title": "Processing The TUH EEG Seizure Corpus",
      "source": "live",
      "kernel_id": "51188963"
    },
    {
      "ref": "rostepifanov/nnspt-1d-effitientnet-v2-starter-lb-0-46",
      "title": "NNSPT 1D EffitientNet V2 Starter - [LB 0.46]",
      "source": "live",
      "kernel_id": "51176621"
    },
    {
      "ref": "junhyeokc/fork-of-hms-version",
      "title": "Fork of HMS짬뽕version",
      "source": "live",
      "kernel_id": "51162047"
    },
    {
      "ref": "yassinealouini/eda-of-brain-activity",
      "title": "EDA of Brain Activity",
      "source": "live",
      "kernel_id": "51157214"
    },
    {
      "ref": "kaimingk/extract-spectrogram",
      "title": "extract_spectrogram",
      "source": "live",
      "kernel_id": "51157111"
    },
    {
      "ref": "qotjgh/hms-test",
      "title": "HMS: 괴물이 되거라 -test",
      "source": "live",
      "kernel_id": "51151698"
    },
    {
      "ref": "junhyeokc/hms-version-lb-0-56",
      "title": "HMS짬뽕version[LB 0,56]",
      "source": "live",
      "kernel_id": "51140555"
    },
    {
      "ref": "inae9405/ai14-gogo",
      "title": "AI14 gogo",
      "source": "live",
      "kernel_id": "51140432"
    },
    {
      "ref": "quan0095/split-kfold-totalvote-hms",
      "title": "split_kfold_totalvote_hms",
      "source": "live",
      "kernel_id": "51129244"
    },
    {
      "ref": "seanbearden/missing-data-in-spectrograms",
      "title": "Missing Data in Spectrograms",
      "source": "live",
      "kernel_id": "51128223"
    },
    {
      "ref": "baldobeliebers/mnepreproc-effnet-trainingscores",
      "title": "mnePreproc_effNet[TrainingScores]",
      "source": "live",
      "kernel_id": "51125770"
    },
    {
      "ref": "abaojiang/lb-0-46-dilatedinception-wavenet-training",
      "title": "[LB 0.46] DilatedInception WaveNet - Training",
      "source": "live",
      "kernel_id": "51119965"
    },
    {
      "ref": "andreasbis/hms-multiple-model-ensemble-lb-0-35",
      "title": "HMS: Multiple Model Ensemble (LB: 0.35)",
      "source": "live",
      "kernel_id": "51119760"
    },
    {
      "ref": "mizukey/simple-baseline-lb-0-97",
      "title": "simple baseline [LB 0.97]",
      "source": "live",
      "kernel_id": "51115531"
    },
    {
      "ref": "kimbyungchun/preprocess-with-mne-for-human",
      "title": "Preprocess with MNE (for Human)",
      "source": "live",
      "kernel_id": "51106997"
    },
    {
      "ref": "sdkaklsgsfg/hms-01",
      "title": "HMS-01",
      "source": "live",
      "kernel_id": "51104686"
    },
    {
      "ref": "paralyzed/fork-of-efficientnetb2-starter-lb-0-57-093177",
      "title": "Fork of EfficientNetB2 Starter - [LB 0.57] 093177",
      "source": "live",
      "kernel_id": "51092747"
    },
    {
      "ref": "elgardo1/hms-03-spectrograms-single-v1",
      "title": "HMS 03 spectrograms single v1",
      "source": "live",
      "kernel_id": "51089813"
    },
    {
      "ref": "abaojiang/lb-0-46-dilatedinception-wavenet-inference",
      "title": "[LB 0.46] DilatedInception WaveNet - Inference",
      "source": "live",
      "kernel_id": "51088685"
    },
    {
      "ref": "medali1992/hms-resnet1d-gru-inference",
      "title": "HMS Resnet1D-GRU Inference",
      "source": "live",
      "kernel_id": "51085997"
    },
    {
      "ref": "kimbyungchun/uniform-prediction",
      "title": "Uniform Prediction (한국어)",
      "source": "live",
      "kernel_id": "51076471"
    },
    {
      "ref": "lance11320/hms-pytorch-baseline-inference",
      "title": "HMS - PyTorch Baseline Inference",
      "source": "live",
      "kernel_id": "51070790"
    },
    {
      "ref": "raki21/eda-spectogram-subsections",
      "title": "EDA Spectogram Subsections",
      "source": "live",
      "kernel_id": "51062839"
    },
    {
      "ref": "kimbyungchun/hms-hbac-starter-eda",
      "title": "HMS-HBAC: Starter EDA (한국어)",
      "source": "live",
      "kernel_id": "51056842"
    },
    {
      "ref": "iglovikov/xymasking-aug",
      "title": "XYMasking aug",
      "source": "live",
      "kernel_id": "51042984"
    },
    {
      "ref": "ghatotkachh/visiontransformertiny",
      "title": "visiontransformertiny",
      "source": "live",
      "kernel_id": "51034624"
    },
    {
      "ref": "fldlsklt/wavenet-starter-lb-0-66",
      "title": "WaveNet Starter - [LB 0.66]",
      "source": "live",
      "kernel_id": "51012184"
    },
    {
      "ref": "seoyunje/hms-wavenet-pseudo-labeling",
      "title": "HMS- WAVENET(Pseudo Labeling)",
      "source": "live",
      "kernel_id": "51011983"
    },
    {
      "ref": "alejopaullier/hms-wavenet-pytorch-inference",
      "title": "HMS | WaveNet PyTorch [Inference]",
      "source": "live",
      "kernel_id": "51008467"
    },
    {
      "ref": "borisenkogeorgiy/specs-arcface",
      "title": "Specs Arcface",
      "source": "live",
      "kernel_id": "51002625"
    },
    {
      "ref": "bhanpuramufaddal2/grumodelv2",
      "title": "GruModelv2",
      "source": "live",
      "kernel_id": "51001345"
    },
    {
      "ref": "mizukey/random-prediction-uniform-distribution-lb-1-09",
      "title": "random prediction (uniform distribution) [LB 1.09]",
      "source": "live",
      "kernel_id": "50999390"
    },
    {
      "ref": "luepoe/iiact-training-hms-workflow",
      "title": "IIACT: Training HMS Workflow ",
      "source": "live",
      "kernel_id": "50992205"
    },
    {
      "ref": "luepoe/master-training-hms-workflow",
      "title": "Master: Training HMS Workflow ",
      "source": "live",
      "kernel_id": "50991888"
    },
    {
      "ref": "alejopaullier/hms-wavenet-pytorch-train",
      "title": "HMS | WaveNet PyTorch [Train]",
      "source": "live",
      "kernel_id": "50987073"
    },
    {
      "ref": "utsavsinghal2604/code-hms",
      "title": "Code_HMS",
      "source": "live",
      "kernel_id": "50982688"
    },
    {
      "ref": "carljvh/hms-eeg-starter",
      "title": "HMS EEG starter",
      "source": "live",
      "kernel_id": "50974875"
    },
    {
      "ref": "nitishjolly/hms-harmful-brain-activity-classification",
      "title": "HMS - Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "50973098"
    },
    {
      "ref": "youssefhassan1234/hms-harmful-brain-activity-classification-youssef",
      "title": "HMS-harmful-brain-activity-classification-youssef ",
      "source": "live",
      "kernel_id": "50959805"
    },
    {
      "ref": "bloodaxe/hms-eda",
      "title": "HMS EDA",
      "source": "live",
      "kernel_id": "50959782"
    },
    {
      "ref": "ghatotkachh/inference",
      "title": "inference ",
      "source": "live",
      "kernel_id": "50956137"
    },
    {
      "ref": "mikhailzemskov/understanding-stft-and-spectrograms",
      "title": "Understanding STFT and Spectrograms",
      "source": "live",
      "kernel_id": "50941086"
    },
    {
      "ref": "aliiii3/making-own-spectorgrams",
      "title": "Making own spectorgrams",
      "source": "live",
      "kernel_id": "50933918"
    },
    {
      "ref": "seanbearden/spectrogram-from-unique-eeg-votes-combo",
      "title": "Spectrogram from Unique EEG/Votes Combo",
      "source": "live",
      "kernel_id": "50909326"
    },
    {
      "ref": "mohib94/hms-making-ekg-spectrogram",
      "title": "HMS | Making EKG Spectrogram",
      "source": "live",
      "kernel_id": "50903979"
    },
    {
      "ref": "astrotis/hmscomp-01",
      "title": "HMScomp_01",
      "source": "live",
      "kernel_id": "50894647"
    },
    {
      "ref": "alexzxie/hms-harmful-brain-activity-classification",
      "title": "HMS - Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "50885265"
    },
    {
      "ref": "seanbearden/effnetb0-2-pop-model-train-twice-lb-0-39",
      "title": "EffNetB0 2 Pop Model Train Twice - [LB 0.39]",
      "source": "live",
      "kernel_id": "50877000"
    },
    {
      "ref": "aurodius/cnn-lstm-baseline-only-use-eeg-data",
      "title": "CNN+LSTM baseline(only use EEG data)",
      "source": "live",
      "kernel_id": "50863071"
    },
    {
      "ref": "dhirajmwagh1111/dhiraj-sarita-harmful-brain-activity-classificat",
      "title": "Dhiraj/Sarita - Harmful Brain Activity Classificat",
      "source": "live",
      "kernel_id": "50860867"
    },
    {
      "ref": "ajpath/dinov2-vit-pytorch-draft-test",
      "title": "DinoV2 ViT Pytorch Draft/Test ",
      "source": "live",
      "kernel_id": "50836795"
    },
    {
      "ref": "kitsuha/transformer-baseline",
      "title": "Transformer baseline",
      "source": "live",
      "kernel_id": "50826116"
    },
    {
      "ref": "yashararabidinov/3-model-ensemble-lb-0-37",
      "title": "3 Model Ensemble(LB 0.37)",
      "source": "live",
      "kernel_id": "50815374"
    },
    {
      "ref": "rutwiklokur/visualizing-spectrogram",
      "title": "Visualizing Spectrogram",
      "source": "live",
      "kernel_id": "50805874"
    },
    {
      "ref": "ajenningsfrankston/hms-eeg-prep",
      "title": "HMS_eeg_prep",
      "source": "live",
      "kernel_id": "50801740"
    },
    {
      "ref": "sikaro/harmful-brain-eda",
      "title": "Harmful-brain : EDA",
      "source": "live",
      "kernel_id": "50801338"
    },
    {
      "ref": "frankling2021/wavenet-in-frequency-domain",
      "title": "WaveNet in Frequency Domain",
      "source": "live",
      "kernel_id": "50793393"
    },
    {
      "ref": "theeventhorizons/eda-hms",
      "title": "EDA HMS",
      "source": "live",
      "kernel_id": "50781241"
    },
    {
      "ref": "liuyanfeng/hms-prediction-tf-transformer",
      "title": "HMS_prediction_tf(transformer)",
      "source": "live",
      "kernel_id": "50779692"
    },
    {
      "ref": "kemh17/hms-hbac",
      "title": "HMS - HBAC",
      "source": "live",
      "kernel_id": "50779320"
    },
    {
      "ref": "mfmfmf3/clean-code-hms",
      "title": "Clean Code | HMS",
      "source": "live",
      "kernel_id": "50773224"
    },
    {
      "ref": "pollicio/hms-pytorch-baseline",
      "title": "HMS - PyTorch Baseline ",
      "source": "live",
      "kernel_id": "50764831"
    },
    {
      "ref": "seanbearden/efficientnetb0-noisy-student-lb-0-42",
      "title": "EfficientNetB0 Noisy Student - [LB 0.42]",
      "source": "live",
      "kernel_id": "50749779"
    },
    {
      "ref": "nischaydnk/training-multimodal-1d-2d-approach-eegs",
      "title": "Training: MultiModal 1D+2D Approach EEGs",
      "source": "live",
      "kernel_id": "50749641"
    },
    {
      "ref": "nischaydnk/multimodal-1d-2d-eeg-approach-submission",
      "title": "MultiModal 1D+2D EEG Approach: Submission",
      "source": "live",
      "kernel_id": "50749330"
    },
    {
      "ref": "ahksase/hms-harmful-brain-activity-classification",
      "title": "HMS - Harmful Brain Activity Classification ",
      "source": "live",
      "kernel_id": "50748274"
    },
    {
      "ref": "borisenkogeorgiy/hms-hbac-resnet34d-baseline-training",
      "title": "HMS-HBAC: ResNet34d Baseline [Training] ",
      "source": "live",
      "kernel_id": "50745828"
    },
    {
      "ref": "elgardo1/hms-how-to-build-spectrograms",
      "title": "HMS how to build spectrograms",
      "source": "live",
      "kernel_id": "50722659"
    },
    {
      "ref": "robber19/hms-baseline-model",
      "title": "HMS_Baseline_Model",
      "source": "live",
      "kernel_id": "50705622"
    },
    {
      "ref": "hideyukizushi/hms-blend-all-torch-publicmodel-simpleblend-lb-32",
      "title": "HMS[BLEND]All Torch PublicModel SimpleBlend[LB.32]",
      "source": "live",
      "kernel_id": "50698726"
    },
    {
      "ref": "bhanpuramufaddal2/datapreprocessing",
      "title": "DataPreprocessing",
      "source": "live",
      "kernel_id": "50698365"
    },
    {
      "ref": "robbob62287/diagnose-initial-efficientnet-starter-performance",
      "title": "Diagnose Initial EfficientNet Starter Performance",
      "source": "live",
      "kernel_id": "50686361"
    },
    {
      "ref": "shouvikdey21/resnet-efficientnet-ensemble-hba-classifie",
      "title": "Resnet_Efficientnet_Ensemble_HBA_Classifie_",
      "source": "live",
      "kernel_id": "50684944"
    },
    {
      "ref": "robonuke/cj-hunters-harmful-brain-model",
      "title": "CJ+Hunters_Harmful_Brain_Model",
      "source": "live",
      "kernel_id": "50676486"
    },
    {
      "ref": "smitten20/eeg-dic",
      "title": "eeg_dic",
      "source": "live",
      "kernel_id": "50661006"
    },
    {
      "ref": "mariesophiesimon/dataexploration",
      "title": "DataExploration",
      "source": "live",
      "kernel_id": "50652738"
    },
    {
      "ref": "tygofrancissen/inference-notebook",
      "title": "Inference Notebook",
      "source": "live",
      "kernel_id": "50649921"
    },
    {
      "ref": "crackle/efficientnetb0-pytorch-starter-lb-0-40",
      "title": "EfficientNetB0 Pytorch Starter - [LB 0.40]",
      "source": "live",
      "kernel_id": "50625795"
    },
    {
      "ref": "abdonasser/eda-beginner-harmful-brain-activity-classification",
      "title": "EDA-Beginner-Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "50613911"
    },
    {
      "ref": "kitsuha/3-model-ensemble-lb-0-37",
      "title": "3 Model Ensemble(LB 0.37)",
      "source": "live",
      "kernel_id": "50605187"
    },
    {
      "ref": "purushv/hms-harmful-brain-activity-classification",
      "title": "HMS - Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "50588921"
    },
    {
      "ref": "iworeushankaonce/read-save-eegs",
      "title": "read_save_eegs",
      "source": "live",
      "kernel_id": "50575147"
    },
    {
      "ref": "borisenkogeorgiy/specs-autoencoder",
      "title": "Specs Autoencoder",
      "source": "live",
      "kernel_id": "50567034"
    },
    {
      "ref": "raufie/spectrograms-dataset-creator-half-a",
      "title": "Spectrograms [Dataset Creator] (Half-a)",
      "source": "live",
      "kernel_id": "50558562"
    },
    {
      "ref": "mohib94/hms-resnext-pytorch-inference",
      "title": "HMS | ResNext_PyTorch_Inference",
      "source": "live",
      "kernel_id": "50550934"
    },
    {
      "ref": "mohib94/hms-resnext-pytorch-lb-0-57",
      "title": "HMS | ResNext_PyTorch_LB 0.57",
      "source": "live",
      "kernel_id": "50550633"
    },
    {
      "ref": "juliuslandsman/hms-hbac-resnet34d-baseline-training",
      "title": "HMS-HBAC: ResNet34d Baseline [Training] ",
      "source": "live",
      "kernel_id": "50543297"
    },
    {
      "ref": "paralyzed/fork-of-catboost-binary-classification-other-vs-r",
      "title": "Fork of CatBoost Binary Classification: Other vs R",
      "source": "live",
      "kernel_id": "50542248"
    },
    {
      "ref": "h210164/hms-eeg2spec",
      "title": "hms - eeg2spec",
      "source": "live",
      "kernel_id": "50530747"
    },
    {
      "ref": "seamusbarnes/hms-competition-fastai-resnet18-train",
      "title": "HMS Competition - fastai - resnet18 - train",
      "source": "live",
      "kernel_id": "50525347"
    },
    {
      "ref": "iworeushankaonce/extract-cardiac-features-from-ecg-a-tutorial",
      "title": "Extract Cardiac features from ECG, a tutorial",
      "source": "live",
      "kernel_id": "50518894"
    },
    {
      "ref": "avdhesh15/harmful-brain-activity-model",
      "title": "Harmful Brain Activity Model",
      "source": "live",
      "kernel_id": "50509182"
    },
    {
      "ref": "naomideenen/train",
      "title": "Train",
      "source": "live",
      "kernel_id": "50507934"
    },
    {
      "ref": "makuiky/hms-dataset-generator",
      "title": "HMS- Dataset generator",
      "source": "live",
      "kernel_id": "50499045"
    },
    {
      "ref": "cooolz/notebookc1c6c389c3",
      "title": "notebookc1c6c389c3",
      "source": "live",
      "kernel_id": "50496431"
    },
    {
      "ref": "koushikcon/catboost-starter-hyperparameter-search",
      "title": "CatBoost Starter - Hyperparameter search",
      "source": "live",
      "kernel_id": "50493000"
    },
    {
      "ref": "suzukisatsuki/hms-eda",
      "title": "HMS: EDAとデータ構造の理解（日本語）",
      "source": "live",
      "kernel_id": "50491785"
    },
    {
      "ref": "sanvibhelkar/hms-deeplearning",
      "title": "HMS_DeepLearning",
      "source": "live",
      "kernel_id": "50490658"
    },
    {
      "ref": "robbob62287/chrononet-for-eeg-data-starter",
      "title": "ChronoNet for EEG Data Starter",
      "source": "live",
      "kernel_id": "50485986"
    },
    {
      "ref": "nakagawaren0805/think-external-eeg-dataset",
      "title": "Think-External-EEG-Dataset",
      "source": "live",
      "kernel_id": "50484273"
    },
    {
      "ref": "ahmedxc4/hms-hbac-kerascv-resnet50",
      "title": "HMS-HBAC: KerasCV ResNet50",
      "source": "live",
      "kernel_id": "50477056"
    },
    {
      "ref": "pollicio/hms-hbac-kerascv-starter-chile",
      "title": "HMS-HBAC: KerasCV Starter Chile ",
      "source": "live",
      "kernel_id": "50468653"
    },
    {
      "ref": "amansharma231102/hms-project",
      "title": "HMS Project",
      "source": "live",
      "kernel_id": "50467159"
    },
    {
      "ref": "ridhii19/notebook26241a801e",
      "title": "notebook26241a801e",
      "source": "live",
      "kernel_id": "50453083"
    },
    {
      "ref": "morodertobias/hms-pytorch-baseline-inference",
      "title": "HMS - PyTorch Baseline Inference",
      "source": "live",
      "kernel_id": "50450293"
    },
    {
      "ref": "peizhengwang/effientnetb0-lstm-head-label-smoothing",
      "title": "🚀EffientNetB0+LSTM head+Label Smoothing",
      "source": "live",
      "kernel_id": "50448769"
    },
    {
      "ref": "andreasbis/hms-train-efficientnetb1",
      "title": "HMS: Train EfficientNetB1",
      "source": "live",
      "kernel_id": "50434113"
    },
    {
      "ref": "hidetaketakahashi/hms-eda-datalength",
      "title": "HMS-EDA-DataLength",
      "source": "live",
      "kernel_id": "50422170"
    },
    {
      "ref": "morodertobias/hms-pytorch-baseline-training",
      "title": "HMS - PyTorch Baseline Training",
      "source": "live",
      "kernel_id": "50412552"
    },
    {
      "ref": "jaadari4/hms-training-notebook",
      "title": "HMS_Training_notebook",
      "source": "live",
      "kernel_id": "50408615"
    },
    {
      "ref": "iworeushankaonce/wavenet-efficientnet-for-eeg-spects-cr-cdeotte",
      "title": "WaveNet+EfficientNet for EEG+Spects, Cr.: @cdeotte",
      "source": "live",
      "kernel_id": "50406918"
    },
    {
      "ref": "sonujha090/hms-hbac-fastai-starter",
      "title": "HMS - HBAC - Fastai Starter",
      "source": "live",
      "kernel_id": "50394895"
    },
    {
      "ref": "cdeotte/grad-cam-what-is-important-in-spectrograms",
      "title": "Grad Cam - What is important in Spectrograms?",
      "source": "live",
      "kernel_id": "50387497"
    },
    {
      "ref": "asimandia/hms-hbac-1d-eeg-training",
      "title": "HMS-HBAC: 1d  EEG [Training] ",
      "source": "live",
      "kernel_id": "50383449"
    },
    {
      "ref": "anmolgarg1998/fold5-hms-wavenet-inference",
      "title": "Fold5_HMS_wavenet_inference",
      "source": "live",
      "kernel_id": "50383383"
    },
    {
      "ref": "jacobsharples/starter-catboost-notebook-cv-0-59-lb-0-61",
      "title": "Starter CatBoost Notebook [CV: 0.59, LB: 0.61]",
      "source": "live",
      "kernel_id": "50383333"
    },
    {
      "ref": "limonhalder/only-use-eeg-features-xgboost-baseling-6bb9d1",
      "title": "Only use EEG features XGBoost baseling 6bb9d1",
      "source": "live",
      "kernel_id": "50382817"
    },
    {
      "ref": "dmitryshibaev/hms-eeg-model",
      "title": "hms-eeg-model",
      "source": "live",
      "kernel_id": "50379921"
    },
    {
      "ref": "walkingwizard0/ds-harvard-harmful-brain-activity-classification",
      "title": "DS - Harvard Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "50377694"
    },
    {
      "ref": "goldenlock/image-model-single-model-with-lb0-235-pb0-283",
      "title": "image_model(single model with LB0.235 PB0.283)",
      "source": "live",
      "kernel_id": "50376011"
    },
    {
      "ref": "pcjimmmy/patient-variation-eda",
      "title": "Patient Variation - EDA",
      "source": "live",
      "kernel_id": "50372785"
    },
    {
      "ref": "makuiky/hms-train-notebook",
      "title": "HMS-train notebook",
      "source": "live",
      "kernel_id": "50365931"
    },
    {
      "ref": "seamusbarnes/hms-competition-random-forest",
      "title": "HMS Competition | Random Forest",
      "source": "live",
      "kernel_id": "50364487"
    },
    {
      "ref": "fraolgelana/catboost-starter-bipolar-eeg",
      "title": "catboost_starter_bipolar_eeg",
      "source": "live",
      "kernel_id": "50364039"
    },
    {
      "ref": "seoyunje/hms-new-chain-with-none",
      "title": "HMS- New chain with None",
      "source": "live",
      "kernel_id": "50362365"
    },
    {
      "ref": "seoyunje/hms-new-chain-with-dmey",
      "title": "HMS- New chain with dmey",
      "source": "live",
      "kernel_id": "50361304"
    },
    {
      "ref": "makuiky/hms-submit-notebook",
      "title": "HMS-submit notebook",
      "source": "live",
      "kernel_id": "50358742"
    },
    {
      "ref": "duongkhoanguyen/hms-eda-1st-step",
      "title": "HMS_EDA_1st_step",
      "source": "live",
      "kernel_id": "50356204"
    },
    {
      "ref": "nartaa/how-to-make-spectrogram-from-eeg",
      "title": "How To Make Spectrogram from EEG",
      "source": "live",
      "kernel_id": "50333902"
    },
    {
      "ref": "victorgabrielpetre/hms-efficientnetb0-pytorch-train",
      "title": "HMS | EfficientNetB0 PyTorch [Train]",
      "source": "live",
      "kernel_id": "50325693"
    },
    {
      "ref": "tygofrancissen/train-notebook",
      "title": "Train Notebook",
      "source": "live",
      "kernel_id": "50323549"
    },
    {
      "ref": "seoyunje/hms-denoising-with-dmey",
      "title": "HMS - Denoising with dmey",
      "source": "live",
      "kernel_id": "50309020"
    },
    {
      "ref": "bkowshik/eda-harmful-brain-activity",
      "title": "EDA . Harmful Brain Activity",
      "source": "live",
      "kernel_id": "50301242"
    },
    {
      "ref": "chenboluo/hms-efficientnetb0-pytorch-test-time-adaptive",
      "title": "HMS | EfficientNetB0 PyTorch Test-time adaptive",
      "source": "live",
      "kernel_id": "50295098"
    },
    {
      "ref": "patteg21/v0-0-hms-convnet",
      "title": "v0.0 HMS ConvNet",
      "source": "live",
      "kernel_id": "50289599"
    },
    {
      "ref": "yujansaya/harmful-brain-activity",
      "title": "harmful_brain_activity",
      "source": "live",
      "kernel_id": "50271593"
    },
    {
      "ref": "usharengaraju/keras3-kerascv-mixertransformer1-inference",
      "title": "Keras3-KerasCV-MixerTransformer1[Inference]",
      "source": "live",
      "kernel_id": "50237218"
    },
    {
      "ref": "alejopaullier/hms-efficientnetb0-pytorch-inference",
      "title": "HMS | EfficientNetB0 PyTorch [Inference]",
      "source": "live",
      "kernel_id": "50229716"
    },
    {
      "ref": "alejopaullier/hms-efficientnetb0-pytorch-train",
      "title": "HMS | EfficientNetB0 PyTorch [Train]",
      "source": "live",
      "kernel_id": "50228753"
    },
    {
      "ref": "vinodkumargurjar/harmful-brain-activity-classification-vinod",
      "title": "Harmful Brain Activity Classification_Vinod",
      "source": "live",
      "kernel_id": "50195978"
    },
    {
      "ref": "vinayaktiwari28/simple-starter-approach-1d-eegnet-training",
      "title": "📈🔥Simple Starter Approach-1D EEGNet Training",
      "source": "live",
      "kernel_id": "50157235"
    },
    {
      "ref": "tanvikapil/hba-tanvi",
      "title": "HBA_TANVI",
      "source": "live",
      "kernel_id": "50156383"
    },
    {
      "ref": "philipakomolafe/notebookf55f8b8d9f",
      "title": "notebookf55f8b8d9f",
      "source": "live",
      "kernel_id": "50146506"
    },
    {
      "ref": "ezzaddeenmofarreh/catboost-trying-more-features",
      "title": "CatBoost trying more features",
      "source": "live",
      "kernel_id": "50140814"
    },
    {
      "ref": "nischaydnk/hms-submission-1d-eegnet-pipeline-lightning",
      "title": "HMS Submission - 1D EEGNet Pipeline Lightning",
      "source": "live",
      "kernel_id": "50132765"
    },
    {
      "ref": "nischaydnk/lightning-1d-eegnet-training-pipeline-hbs",
      "title": "Lightning - 1D EEGNet Training Pipeline HBS",
      "source": "live",
      "kernel_id": "50132183"
    },
    {
      "ref": "seungwanhong/automl-hms-brief-eda-starter",
      "title": "[AutoML] HMS Brief EDA Starter",
      "source": "live",
      "kernel_id": "50124363"
    },
    {
      "ref": "stemosamaghandour/eeg-brain-epilepsy-evaluator-by-efficientnetb2",
      "title": "EEG Brain Epilepsy evaluator by EfficientNetB2",
      "source": "live",
      "kernel_id": "50117440"
    },
    {
      "ref": "seamusbarnes/catboost-starter-lb-0-6",
      "title": "CatBoost Starter - [LB 0.6]",
      "source": "live",
      "kernel_id": "50109807"
    },
    {
      "ref": "anexperiencedidiot/ensemble-hba-classifier-extension",
      "title": "Ensemble HBA Classifier - Extension",
      "source": "live",
      "kernel_id": "50105728"
    },
    {
      "ref": "seshurajup/sparcnet-git",
      "title": "SPaRCNet Git",
      "source": "live",
      "kernel_id": "50100165"
    },
    {
      "ref": "sunny7712/hms-starter-pytorch-train",
      "title": "HMS-Starter-Pytorch (Train)",
      "source": "live",
      "kernel_id": "50100018"
    },
    {
      "ref": "andreasbis/hms-inference-lb-0-41",
      "title": "HMS: Inference (LB: 0.41)",
      "source": "live",
      "kernel_id": "50094271"
    },
    {
      "ref": "kesavsivakumar/wavlet-decomp-entropy-features-of-coefficients",
      "title": "wavlet decomp.+ entropy features of coefficients",
      "source": "live",
      "kernel_id": "50091772"
    },
    {
      "ref": "tomooinubushi/lb-probing-notebook-for-hms",
      "title": "LB probing notebook for HMS",
      "source": "live",
      "kernel_id": "50090482"
    },
    {
      "ref": "lilyhyseni/hms-detect-and-classify-seizures-in-eeg",
      "title": "HMS - Detect and Classify Seizures in EEG ",
      "source": "live",
      "kernel_id": "50084110"
    },
    {
      "ref": "andreasbis/hms-train-efficientnetb0",
      "title": "HMS: Train EfficientNetB0",
      "source": "live",
      "kernel_id": "50080626"
    },
    {
      "ref": "andreasbis/hms-train-resnet34d",
      "title": "HMS: Train ResNet34d",
      "source": "live",
      "kernel_id": "50080568"
    },
    {
      "ref": "samithanawarathna/pytorch-eegnet-baseline-model",
      "title": "[Pytorch] EEGNet Baseline Model🔥 ",
      "source": "live",
      "kernel_id": "50079749"
    },
    {
      "ref": "kriti264/ensemble-hba-classifier",
      "title": "Ensemble HBA Classifier",
      "source": "live",
      "kernel_id": "50070405"
    },
    {
      "ref": "rayruiyunliu/eeg-eda-gbdt",
      "title": "eeg_EDA+GBDT",
      "source": "live",
      "kernel_id": "50062361"
    },
    {
      "ref": "usharengaraju/keras3-kerascv-mixertransformer-training",
      "title": "Keras3-KerasCV-MixerTransformer[Training]",
      "source": "live",
      "kernel_id": "50062312"
    },
    {
      "ref": "jpkochar/hms-first-try",
      "title": "hms_first_try",
      "source": "live",
      "kernel_id": "50060976"
    },
    {
      "ref": "raufie/distribution-analysis-hba",
      "title": "Distribution Analysis-HBA",
      "source": "live",
      "kernel_id": "50053620"
    },
    {
      "ref": "felipenano/efficientnetb2-starter-lb-0-57",
      "title": "EfficientNetB2 Starter - [LB 0.57]",
      "source": "live",
      "kernel_id": "50034320"
    },
    {
      "ref": "mukuldev007/harmfulbrainactivityclassification",
      "title": "HarmfulBrainActivityClassification",
      "source": "live",
      "kernel_id": "50033644"
    },
    {
      "ref": "seshurajup/eeg-spectrogram-nan-analysis",
      "title": "EEG & Spectrogram NaN Analysis ",
      "source": "live",
      "kernel_id": "50031018"
    },
    {
      "ref": "ksevta/hms-eda-catboost-baseline",
      "title": "HMS🧠EDA | CatBoost | Baseline",
      "source": "live",
      "kernel_id": "50030699"
    },
    {
      "ref": "oles04/introduction-eda",
      "title": "Introduction + EDA",
      "source": "live",
      "kernel_id": "50028783"
    },
    {
      "ref": "anmolgarg1998/hms-combined-eeg-spectrogram",
      "title": "HMS_combined_eeg_spectrogram",
      "source": "live",
      "kernel_id": "50019355"
    },
    {
      "ref": "lorispanza/analysis-on-single-patient-eegs-and-spectrograms",
      "title": "analysis_on_single_patient_eegs_and_spectrograms",
      "source": "live",
      "kernel_id": "50018645"
    },
    {
      "ref": "craigmthomas/hms-2024-eda-models",
      "title": "HMS-2024: EDA + Models",
      "source": "live",
      "kernel_id": "50005459"
    },
    {
      "ref": "nimararora/pytorch-lightning-starter-with-wandb-visualization",
      "title": "PyTorch Lightning starter with WANDB visualization",
      "source": "live",
      "kernel_id": "49999736"
    },
    {
      "ref": "taha159357/harvard-hba-efficientnet-0-43",
      "title": "Harvard HBA - EfficientNet [0.43]",
      "source": "live",
      "kernel_id": "49997094"
    },
    {
      "ref": "dan3dewey/hms-2024-brain-addicted-to-tinkering",
      "title": "HMS 2024 - Brain addicted to tinkering",
      "source": "live",
      "kernel_id": "49981285"
    },
    {
      "ref": "adityasrivastava87/wavenet-starter-lb-0-66-0d5147",
      "title": "WaveNet Starter - [LB 0.66] 0d5147",
      "source": "live",
      "kernel_id": "49980260"
    },
    {
      "ref": "yunsuxiaozi/hms-eeg-efficientnet-b0-512-512-training-5-folds",
      "title": " HMS eeg efficientnet b0(512*512 training 5 folds)",
      "source": "live",
      "kernel_id": "49964127"
    },
    {
      "ref": "cody11null/quick-ensemble",
      "title": "Quick Ensemble",
      "source": "live",
      "kernel_id": "49939324"
    },
    {
      "ref": "taichiuemura/hms-hbac-filter-and-downsample",
      "title": "HMS-HBAC: Filter and downsample",
      "source": "live",
      "kernel_id": "49919768"
    },
    {
      "ref": "samithanawarathna/extract-various-frequency-bands-from-eeg-data",
      "title": "Extract various 📶frequency bands from 🧠EEG Data",
      "source": "live",
      "kernel_id": "49916498"
    },
    {
      "ref": "kitsuha/cnn-lstm-baseline-only-use-eeg-data",
      "title": "CNN+LSTM baseline(only use EEG data)",
      "source": "live",
      "kernel_id": "49912594"
    },
    {
      "ref": "yunsuxiaozi/hms-fusion-notebook-0125",
      "title": "HMS fusion_notebook(0125)",
      "source": "live",
      "kernel_id": "49910190"
    },
    {
      "ref": "deepaksingh47/catboost-starter-with-patient-eeg-count-z-score",
      "title": "CatBoost Starter - with patient eeg count z score",
      "source": "live",
      "kernel_id": "49909846"
    },
    {
      "ref": "seshurajup/spectrogram-distribution-analysis-sample",
      "title": "Spectrogram Distribution Analysis (Sample)",
      "source": "live",
      "kernel_id": "49906914"
    },
    {
      "ref": "taichiuemura/using-competition-metric-in-notebook",
      "title": "Using competition metric in notebook",
      "source": "live",
      "kernel_id": "49906523"
    },
    {
      "ref": "elgardo1/hms-eda-nan-in-sub-spectrograms",
      "title": "HMS EDA NaN in sub spectrograms",
      "source": "live",
      "kernel_id": "49899394"
    },
    {
      "ref": "mayurnawal/redo-wavenet",
      "title": "Redo_Wavenet",
      "source": "live",
      "kernel_id": "49896706"
    },
    {
      "ref": "awsaf49/hms-hbac-kerascv-starter-notebook",
      "title": "HMS-HBAC: KerasCV Starter Notebook",
      "source": "live",
      "kernel_id": "49886229"
    },
    {
      "ref": "yunsuxiaozi/hms-eegs-resnet34d-512-512-inference-5-folds",
      "title": "HMS eegs resnet34d(512*512 inference 5 folds)",
      "source": "live",
      "kernel_id": "49880137"
    },
    {
      "ref": "yunsuxiaozi/hms-eegs-resnet34d-512-512-training-5-folds",
      "title": "HMS  eegs resnet34d(512*512 training 5 folds)",
      "source": "live",
      "kernel_id": "49876305"
    },
    {
      "ref": "noshakeplz/hms-hbac-resnet34d-baseline-training-85f79f",
      "title": "HMS-HBAC: ResNet34d Baseline [Training]  85f79f",
      "source": "live",
      "kernel_id": "49875670"
    },
    {
      "ref": "dky7376/gpu-infer-hms-vit-pipeline",
      "title": "[GPU INFER] HMS-ViT-Pipeline",
      "source": "live",
      "kernel_id": "49870123"
    },
    {
      "ref": "yunsuxiaozi/hms-learn-to-transform-eeg-to-spectrogram-256-256",
      "title": "HMS Learn to transform eeg to spectrogram(256*256)",
      "source": "live",
      "kernel_id": "49869150"
    },
    {
      "ref": "nakagawaren0805/hms-preprocess-linear-denoise",
      "title": "hms-preprocess-linear-denoise",
      "source": "live",
      "kernel_id": "49866801"
    },
    {
      "ref": "ubaydullohasatullaev/harward-hms-base-mean-submission",
      "title": "Harward - HMS base mean submission ",
      "source": "live",
      "kernel_id": "49865798"
    },
    {
      "ref": "ubaydulloasatullaev/harvard-hba-efficientnet-0-43",
      "title": "Harvard HBA - EfficientNet [0.43]",
      "source": "live",
      "kernel_id": "49864063"
    },
    {
      "ref": "minhsienweng/train-infer-efficientnetb0-starter",
      "title": "[Train+Infer] EfficientNetB0 Starter ",
      "source": "live",
      "kernel_id": "49854273"
    },
    {
      "ref": "nadiatriki/detecting-harmful-brain-activity",
      "title": "Detecting Harmful Brain Activity ",
      "source": "live",
      "kernel_id": "49854136"
    },
    {
      "ref": "amankapoor0601/hms-code",
      "title": "HMS_code",
      "source": "live",
      "kernel_id": "49835791"
    },
    {
      "ref": "dky7376/gpu-train-hms-vit-pipeline",
      "title": "[GPU Train]HMS-ViT-Pipeline",
      "source": "live",
      "kernel_id": "49818506"
    },
    {
      "ref": "robbob62287/rnn-vcae-attempt",
      "title": "RNN/VCAE Attempt",
      "source": "live",
      "kernel_id": "49808060"
    },
    {
      "ref": "serjhenrique/hms-hbac-dataset-build-dask-delayed",
      "title": "HMS-HBAC Dataset Build (Dask Delayed)",
      "source": "live",
      "kernel_id": "49800381"
    },
    {
      "ref": "adityasrivastava87/training-wavenet",
      "title": "Training WaveNet",
      "source": "live",
      "kernel_id": "49790829"
    },
    {
      "ref": "nartaa/features-head-starter",
      "title": "Features+Head Starter",
      "source": "live",
      "kernel_id": "49787068"
    },
    {
      "ref": "kkamal2003/hms-harmful-brain-activity-classification",
      "title": "HMS-Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "49778593"
    },
    {
      "ref": "pansofluck/hms-hbac-resnet34d-inference",
      "title": "HMS-HBAC: ResNet34d - Inference",
      "source": "live",
      "kernel_id": "49773417"
    },
    {
      "ref": "abebe9849/make-cwt-from-eeg-compare-3-types-of-images",
      "title": "Make CWT from EEG& compare 3 types of images",
      "source": "live",
      "kernel_id": "49761927"
    },
    {
      "ref": "medali1992/hms-resnet1d-gru-train",
      "title": "HMS Resnet1D-GRU Train",
      "source": "live",
      "kernel_id": "49747973"
    },
    {
      "ref": "mayurnawal/hms-1-train-csv-analysis",
      "title": "HMS_1_Train_CSV_Analysis",
      "source": "live",
      "kernel_id": "49747970"
    },
    {
      "ref": "ybbbat/mean-and-variance",
      "title": "Mean and variance",
      "source": "live",
      "kernel_id": "49742664"
    },
    {
      "ref": "yunsuxiaozi/hms-eeg-s-feature-engineer-cv-0-6351",
      "title": "HMS eeg's feature engineer(CV:0.6351)",
      "source": "live",
      "kernel_id": "49740835"
    },
    {
      "ref": "diegorestrepoleal/hms-1",
      "title": "HMS_1",
      "source": "live",
      "kernel_id": "49739735"
    },
    {
      "ref": "ghatotkachh/using-cnn",
      "title": "using_CNN",
      "source": "live",
      "kernel_id": "49735816"
    },
    {
      "ref": "tanmaysinghal55/bossting",
      "title": "bossting",
      "source": "live",
      "kernel_id": "49732337"
    },
    {
      "ref": "seshurajup/catboost-binary-classification-other-vs-rest",
      "title": "CatBoost Binary Classification: Other vs Rest",
      "source": "live",
      "kernel_id": "49718669"
    },
    {
      "ref": "dan3dewey/hms-2024-brain-clusters",
      "title": "HMS 2024 - Brain Clusters",
      "source": "live",
      "kernel_id": "49714174"
    },
    {
      "ref": "anmolgarg1998/hms-eeg-raw-dataset-16waves",
      "title": "HMS_eeg_raw_dataset_16waves",
      "source": "live",
      "kernel_id": "49710813"
    },
    {
      "ref": "senku04/beginners-approach-eda",
      "title": "Beginners Approach + EDA",
      "source": "live",
      "kernel_id": "49710560"
    },
    {
      "ref": "jillanisofttech/hms-baseline-resnet34d-v2-1",
      "title": "HMS Baseline Resnet34d V2.1",
      "source": "live",
      "kernel_id": "49708181"
    },
    {
      "ref": "pawanthapaliya/hms-harmful-brain-activity-classification",
      "title": "HMS - Harmful Brain Activity Classification  ",
      "source": "live",
      "kernel_id": "49705506"
    },
    {
      "ref": "anmolgarg1998/hms-cnn1d-inference",
      "title": "HMS_cnn1d_inference",
      "source": "live",
      "kernel_id": "49704351"
    },
    {
      "ref": "ssarkar445/hms-starter-inf-cnn",
      "title": "HMS-Starter-Inf CNN",
      "source": "live",
      "kernel_id": "49696861"
    },
    {
      "ref": "hideyukizushi/hms-totalvalue1",
      "title": "HMS-TotalValue1",
      "source": "live",
      "kernel_id": "49692254"
    },
    {
      "ref": "yitianlai/eeg-harmful-brain-activity-classification",
      "title": "EEG Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "49687825"
    },
    {
      "ref": "yunsuxiaozi/hms-baseline-lgb-10-folds-inference",
      "title": "HMS baseline (lgb_10_folds inference)",
      "source": "live",
      "kernel_id": "49687363"
    },
    {
      "ref": "anexperiencedidiot/hms-boosting",
      "title": "hms-boosting",
      "source": "live",
      "kernel_id": "49686193"
    },
    {
      "ref": "yunsuxiaozi/hms-baseline-lgb-10-folds-training",
      "title": "HMS baseline (lgb_10_folds training)",
      "source": "live",
      "kernel_id": "49679000"
    },
    {
      "ref": "vvvm23/hms-baseline-mean",
      "title": "hms-baseline-mean",
      "source": "live",
      "kernel_id": "49646785"
    },
    {
      "ref": "vvvm23/hms-baseline-equal",
      "title": "hms-baseline-equal",
      "source": "live",
      "kernel_id": "49645419"
    },
    {
      "ref": "syednazmussakib/harmful-brain-activity-classification-from-eegdata",
      "title": "Harmful Brain activity Classification from EEGData",
      "source": "live",
      "kernel_id": "49644134"
    },
    {
      "ref": "charliezimmerman/degree-of-expert-agreement-across-consensus-labels",
      "title": "Degree of Expert Agreement Across Consensus Labels",
      "source": "live",
      "kernel_id": "49641902"
    },
    {
      "ref": "hideyukizushi/hms-only-spectrograms-efficientnetv2-s-m-l-lb-42",
      "title": "HMS Only spectrograms efficientnetv2_s/m/l[LB.42]",
      "source": "live",
      "kernel_id": "49631848"
    },
    {
      "ref": "yunsuxiaozi/hms-baseline-resnet34d-512-512-inference-6-models",
      "title": "HMS baseline_resnet34d(512*512 inference 6 models)",
      "source": "live",
      "kernel_id": "49624419"
    },
    {
      "ref": "majnubhai80085/short-intro-to-eeg-hms",
      "title": "SHORT INTRO TO EEG(HMS)",
      "source": "live",
      "kernel_id": "49617443"
    },
    {
      "ref": "yunsuxiaozi/hms-baseline-resnet34d-512-512-training-5-folds",
      "title": "HMS baseline_resnet34d(512*512 Training 5 folds)",
      "source": "live",
      "kernel_id": "49606340"
    },
    {
      "ref": "yunsuxiaozi/hms-baseline-resnet34d-512-512-inference",
      "title": "HMS baseline_resnet34d(512*512 inference)",
      "source": "live",
      "kernel_id": "49603627"
    },
    {
      "ref": "mhantor/brain-activity-classification",
      "title": "Brain Activity Classification",
      "source": "live",
      "kernel_id": "49601045"
    },
    {
      "ref": "sasidharanm10/a-beginner-approach",
      "title": "A Beginner approach",
      "source": "live",
      "kernel_id": "49593305"
    },
    {
      "ref": "andrewscholan/offline-load-eeglib-visualisations-for-hms-hbac",
      "title": "Offline load eeglib, visualisations for HMS-HBAC",
      "source": "live",
      "kernel_id": "49592263"
    },
    {
      "ref": "yunsuxiaozi/hms-baseline-resnet34d-512-512-training",
      "title": "HMS baseline_resnet34d(512*512 Training)",
      "source": "live",
      "kernel_id": "49581106"
    },
    {
      "ref": "sunyuri/hms-vipeegnetv1",
      "title": "HMS-VIPEEGNetV1",
      "source": "live",
      "kernel_id": "49576186"
    },
    {
      "ref": "cdeotte/wavenet-starter-lb-0-52",
      "title": "WaveNet Starter - [LB 0.52]",
      "source": "live",
      "kernel_id": "49574083"
    },
    {
      "ref": "patrob/check-eeg-ekg-strange-values",
      "title": "check_eeg_ekg_strange_values",
      "source": "live",
      "kernel_id": "49569034"
    },
    {
      "ref": "shashanks1202/hms-brain",
      "title": "HMS_BRAIN",
      "source": "live",
      "kernel_id": "49559804"
    },
    {
      "ref": "dschettler8845/hms-eda-wip-abandonded",
      "title": "HMS EDA - WIP [ABANDONDED]",
      "source": "live",
      "kernel_id": "49539732"
    },
    {
      "ref": "soshitanabe/notebook0e27efe57f",
      "title": "notebook0e27efe57f",
      "source": "live",
      "kernel_id": "49537810"
    },
    {
      "ref": "ambisinistra/rythm-baseline",
      "title": "Rythm baseline",
      "source": "live",
      "kernel_id": "49528158"
    },
    {
      "ref": "nartaa/training-features-head-starter-testbed-003",
      "title": "Training Features+Head Starter - Testbed  003",
      "source": "live",
      "kernel_id": "49524941"
    },
    {
      "ref": "gunesevitan/hms-hbac-inference",
      "title": "HMS - HBAC - Inference",
      "source": "live",
      "kernel_id": "49524919"
    },
    {
      "ref": "yusaku5739/introduction-of-features-used-for-eeg-analysis",
      "title": "Introduction of features  used for EEG analysis",
      "source": "live",
      "kernel_id": "49521996"
    },
    {
      "ref": "starcs2001/hms-modelling-and-data-prep",
      "title": "HMS_Modelling and data_prep",
      "source": "live",
      "kernel_id": "49519432"
    },
    {
      "ref": "liuyanfeng/hms-train-model-baseline-tf",
      "title": "HMS_train_model(baseline)_tf",
      "source": "live",
      "kernel_id": "49517426"
    },
    {
      "ref": "taichiuemura/hms-hbac-eda",
      "title": "HMS-HBAC | EDA",
      "source": "live",
      "kernel_id": "49507752"
    },
    {
      "ref": "taichiuemura/hms-hbac-first-view",
      "title": "HMS-HBAC | First view",
      "source": "live",
      "kernel_id": "49502847"
    },
    {
      "ref": "ryzhokhina/harmful-brain-activity-visualization-data-cnn",
      "title": "Harmful_Brain_Activity_Visualization_Data_CNN",
      "source": "live",
      "kernel_id": "49493521"
    },
    {
      "ref": "ybbbat/learning-from-eeg-signals-using-arl-eegmodels",
      "title": "Learning from EEG signals using ARL_EEGModels",
      "source": "live",
      "kernel_id": "49469922"
    },
    {
      "ref": "cdeotte/how-to-make-spectrogram-from-eeg",
      "title": "How To Make Spectrogram from EEG",
      "source": "live",
      "kernel_id": "49463724"
    },
    {
      "ref": "isabelocastillo/convert-to-dataframe",
      "title": "Convert to dataframe",
      "source": "live",
      "kernel_id": "49455736"
    },
    {
      "ref": "vikramsandu/hbac-spec-playground",
      "title": "HBAC-Spec-Playground",
      "source": "live",
      "kernel_id": "49455614"
    },
    {
      "ref": "seshurajup/eeg-pairing-wav",
      "title": "EEG Pairing Wav",
      "source": "live",
      "kernel_id": "49455406"
    },
    {
      "ref": "kenanmorani/hms-hbac-vit-transformer-baseline-training",
      "title": "HMS-HBAC: VIT transformer Baseline [Training] ",
      "source": "live",
      "kernel_id": "49447410"
    },
    {
      "ref": "yunsuxiaozi/hms-baseline-lgb",
      "title": "HMS_baseline(lgb)",
      "source": "live",
      "kernel_id": "49445740"
    },
    {
      "ref": "xueyushi/test-for-submission",
      "title": "test_for_submission",
      "source": "live",
      "kernel_id": "49438652"
    },
    {
      "ref": "shunsukekikuchi/dive-into-eegs",
      "title": "Dive into EEGs",
      "source": "live",
      "kernel_id": "49437365"
    },
    {
      "ref": "ssarkar445/hms-starter-training-cnn",
      "title": "HMS-Starter-Training CNN",
      "source": "live",
      "kernel_id": "49436968"
    },
    {
      "ref": "sergeydeev/dfdf-with-parquet",
      "title": "DFDF with parquet",
      "source": "live",
      "kernel_id": "49433316"
    },
    {
      "ref": "cdeotte/efficientnetb0-starter-lb-0-43",
      "title": "EfficientNetB0 Starter - [LB 0.43]",
      "source": "live",
      "kernel_id": "49430674"
    },
    {
      "ref": "sumandas0/spectograms-with-max-and-min-votes-using-plotly",
      "title": "Spectograms with max and min votes using Plotly",
      "source": "live",
      "kernel_id": "49412624"
    },
    {
      "ref": "patrob/check-nan-rows-eeg",
      "title": "check_nan_rows_eeg",
      "source": "live",
      "kernel_id": "49406168"
    },
    {
      "ref": "patrob/check-nan-spectrograms",
      "title": "check_nan_spectrograms",
      "source": "live",
      "kernel_id": "49400345"
    },
    {
      "ref": "ttahara/hms-hbac-resnet34d-baseline-inference",
      "title": "HMS-HBAC: ResNet34d Baseline [Inference]",
      "source": "live",
      "kernel_id": "49397081"
    },
    {
      "ref": "yusaku5739/eeg-signal-denosing-using-wavelet-transform",
      "title": "EEG signal denosing using Wavelet transform",
      "source": "live",
      "kernel_id": "49392710"
    },
    {
      "ref": "kitsuha/only-use-eeg-features-xgboost-baseling",
      "title": "Only use EEG features XGBoost baseling",
      "source": "live",
      "kernel_id": "49387166"
    },
    {
      "ref": "risakashiwabara/eda-train-data-visualization",
      "title": "[EDA]Train data visualization",
      "source": "live",
      "kernel_id": "49384680"
    },
    {
      "ref": "ttahara/hms-hbac-resnet34d-baseline-training",
      "title": "HMS-HBAC: ResNet34d Baseline [Training] ",
      "source": "live",
      "kernel_id": "49380072"
    },
    {
      "ref": "djanyigit/hms-eda-deep-learning-cnn",
      "title": "HMS -  EDA & Deep Learning (CNN) 🔥",
      "source": "live",
      "kernel_id": "49379528"
    },
    {
      "ref": "hafizrahman/eeg-analysis-classification",
      "title": "EEG Analysis & Classification",
      "source": "live",
      "kernel_id": "49378120"
    },
    {
      "ref": "santusrk/data-analysis-for-a-beginner",
      "title": "Data analysis for a beginner ",
      "source": "live",
      "kernel_id": "49373736"
    },
    {
      "ref": "kawaiicoderuwu/visualize-eeg-scan-data-split-by-hemisphere",
      "title": "Visualize EEG Scan Data (Split by Hemisphere)",
      "source": "live",
      "kernel_id": "49373608"
    },
    {
      "ref": "gemknight/catboost-starter-lb-0-8",
      "title": "CatBoost Starter - [LB 0.8]",
      "source": "live",
      "kernel_id": "49369885"
    },
    {
      "ref": "venkatkumar001/catboost-hypertuning-lb-0-65-credit-chrisdeott",
      "title": "CatBoost_HyperTuning:LB-0.65(Credit: ChrisDeott)",
      "source": "live",
      "kernel_id": "49368443"
    },
    {
      "ref": "muhammad4hmed/hms-data-prepare-separate-spectogram",
      "title": "[HMS] - Data Prepare - Separate Spectogram",
      "source": "live",
      "kernel_id": "49368378"
    },
    {
      "ref": "muhammad4hmed/hms-train-vit-on-spectrograms",
      "title": "[HMS] Train - ViT on Spectrograms",
      "source": "live",
      "kernel_id": "49360881"
    },
    {
      "ref": "yorkyong/exploring-eeg-a-beginner-s-guide",
      "title": "🧠 Exploring EEG: A Beginner's Guide",
      "source": "live",
      "kernel_id": "49359227"
    },
    {
      "ref": "takanashihumbert/split-off-subsample-data-of-each-eeg-id",
      "title": "Split off subsample data of each eeg_id",
      "source": "live",
      "kernel_id": "49353313"
    },
    {
      "ref": "gunesevitan/hms-harmful-brain-activity-classification-eda",
      "title": "HMS - Harmful Brain Activity Classification - EDA",
      "source": "live",
      "kernel_id": "49347858"
    },
    {
      "ref": "arunsensei/lgbm-lb-0-76-spectrogram-and-eeg-describe",
      "title": "LGBM LB[0.76] spectrogram and EEG describe",
      "source": "live",
      "kernel_id": "49345942"
    },
    {
      "ref": "shunsukekikuchi/fast-eda",
      "title": "Fast EDA",
      "source": "live",
      "kernel_id": "49341928"
    },
    {
      "ref": "nakagawaren0805/hms-detect-na",
      "title": "hms-detect-na",
      "source": "live",
      "kernel_id": "49341908"
    },
    {
      "ref": "cdeotte/catboost-starter-lb-0-60",
      "title": "CatBoost Starter - [LB 0.60]",
      "source": "live",
      "kernel_id": "49338447"
    },
    {
      "ref": "jazivxt/rythm-vibration-life-communication",
      "title": "Rythm/Vibration Life/Communication",
      "source": "live",
      "kernel_id": "49333268"
    },
    {
      "ref": "kylelacson/harmful-brain-activity-ipynb",
      "title": "Harmful_Brain_Activity.ipynb",
      "source": "live",
      "kernel_id": "49331832"
    },
    {
      "ref": "muhammad4hmed/hms-inference-vit-on-spectrograms",
      "title": "[HMS] Inference - ViT on Spectrograms",
      "source": "live",
      "kernel_id": "49329858"
    },
    {
      "ref": "kdmitrie/hms-simple-functions-to-explore-the-records",
      "title": "HMS: Simple functions to explore the records",
      "source": "live",
      "kernel_id": "49326246"
    },
    {
      "ref": "seshurajup/eegs-train-split-cv",
      "title": "Eegs Train Split (CV)",
      "source": "live",
      "kernel_id": "49324875"
    },
    {
      "ref": "shouheikuniyoshi/ibis-hms-harmful-brain-activity-first-glance",
      "title": "🦩[Ibis] HMS Harmful Brain Activity - First Glance",
      "source": "live",
      "kernel_id": "49319272"
    },
    {
      "ref": "ismailaseck/the-training-set-has-824-eeg-files-with-nan",
      "title": "The training set  has 824 EEG files with NaN  ",
      "source": "live",
      "kernel_id": "49318279"
    },
    {
      "ref": "liuyanfeng/hms-train-dataset-create-baseline",
      "title": "HMS_train_dataset_create(baseline)",
      "source": "live",
      "kernel_id": "49314932"
    },
    {
      "ref": "arunsensei/lgbm-xgb-just-eeg-describe",
      "title": "LGBM + XGB just EEG describe",
      "source": "live",
      "kernel_id": "49310212"
    },
    {
      "ref": "nakagawaren0805/hms-eda",
      "title": "hms-eda",
      "source": "live",
      "kernel_id": "49298807"
    },
    {
      "ref": "benjenkins96/hms-eda-statistical-analysis",
      "title": "HMS 🧠: EDA & Statistical Analysis",
      "source": "live",
      "kernel_id": "49283232"
    },
    {
      "ref": "ybbbat/harmful-brain-activity-plotting-eda",
      "title": "Harmful Brain Activity Plotting EDA",
      "source": "live",
      "kernel_id": "49281996"
    },
    {
      "ref": "chaozhuang/hms-cnn-classification",
      "title": "HMS | CNN classification",
      "source": "live",
      "kernel_id": "49281040"
    },
    {
      "ref": "timotheguy/data-exploration-and-some-signal-processing",
      "title": "🧠 Data exploration and some signal processing 🔊 ",
      "source": "live",
      "kernel_id": "49264929"
    },
    {
      "ref": "seshurajup/eegs-target-analysis-correct-way-to-merge-target",
      "title": "Eegs Target Analysis - Correct way to merge target",
      "source": "live",
      "kernel_id": "49260790"
    },
    {
      "ref": "steveroberts/harmful-brain-activity-introduction",
      "title": "Harmful Brain Activity - Introduction",
      "source": "live",
      "kernel_id": "49259747"
    },
    {
      "ref": "nakagawaren0805/hms-baseline-train",
      "title": "hms-baseline-train",
      "source": "live",
      "kernel_id": "49258254"
    },
    {
      "ref": "seshurajup/eegs-pairing-analysis-features",
      "title": "Eegs Pairing Analysis & Features",
      "source": "live",
      "kernel_id": "49255516"
    },
    {
      "ref": "allygilbert/hms-project-background",
      "title": "HMS Project Background",
      "source": "live",
      "kernel_id": "49253173"
    },
    {
      "ref": "venkatkumar001/hms-firststep-exploration",
      "title": "📢HMS_FirstStep_Exploration",
      "source": "live",
      "kernel_id": "49249681"
    },
    {
      "ref": "mohammed165/harmful-brain-activity-classification",
      "title": " Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "49234436"
    },
    {
      "ref": "seshurajup/missing-eeg-ids-train-csv-vs-train-eegs-resolved",
      "title": "Missing Eeg_ids Train.csv vs train_eegs [Resolved]",
      "source": "live",
      "kernel_id": "49232480"
    },
    {
      "ref": "clehmann10/solution-scoring-example",
      "title": "💯 Solution Scoring Example",
      "source": "live",
      "kernel_id": "49231381"
    },
    {
      "ref": "matucker/aha-brain-eeg",
      "title": "aha_brain_eeg",
      "source": "live",
      "kernel_id": "49228537"
    },
    {
      "ref": "morodertobias/hms-data-inspection",
      "title": "HMS - Data Inspection",
      "source": "live",
      "kernel_id": "49224424"
    },
    {
      "ref": "seshurajup/eda-train-csv",
      "title": "EDA train.csv",
      "source": "live",
      "kernel_id": "49224417"
    },
    {
      "ref": "ismailaseck/hms-pytorch-dataset",
      "title": "hms_pytorch_dataset",
      "source": "live",
      "kernel_id": "49222041"
    },
    {
      "ref": "jwackito/egg-plot-functions",
      "title": "EGG plot functions",
      "source": "live",
      "kernel_id": "49217600"
    },
    {
      "ref": "sajjadfc13/a-beginner-s-visualization",
      "title": "A Beginner's Visualization ",
      "source": "live",
      "kernel_id": "49215716"
    },
    {
      "ref": "stpeteishii/brain-activity-data-view-and-features",
      "title": "Brain Activity Data View and Features",
      "source": "live",
      "kernel_id": "49213503"
    },
    {
      "ref": "satishsathawane/neuroguard-a-deep-dive-into-hms-harmful-brain",
      "title": "NeuroGuard: A Deep Dive into HMS - Harmful Brain ",
      "source": "live",
      "kernel_id": "49208479"
    },
    {
      "ref": "sasidharanm10/hms-harmful-brain-activity-classification",
      "title": "HMS - Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "49191817"
    },
    {
      "ref": "jacobsharples/examining-the-training-file",
      "title": "Examining the Training File 🗄️",
      "source": "live",
      "kernel_id": "49189827"
    },
    {
      "ref": "lenferdetroud/hms-harmful-brain-activity-classification",
      "title": "HMS - Harmful Brain Activity Classification",
      "source": "live",
      "kernel_id": "49187939"
    },
    {
      "ref": "clehmann10/listen-to-spectrograms",
      "title": "🔊 Listen to Spectrograms",
      "source": "live",
      "kernel_id": "49172886"
    },
    {
      "ref": "mvvppp/hms-eda-and-domain-journey",
      "title": "🌩️HMS - EDA and Domain Journey🌍",
      "source": "live",
      "kernel_id": "49172679"
    },
    {
      "ref": "clehmann10/plot-spectrograms",
      "title": "🌈 Plot Spectrograms",
      "source": "live",
      "kernel_id": "49172273"
    },
    {
      "ref": "ksooklall/hms-banana-montage",
      "title": "HMS-Banana montage",
      "source": "live",
      "kernel_id": "49170703"
    },
    {
      "ref": "clehmann10/beginner-s-eda",
      "title": "🧠📈 Beginner's EDA 📈🧠",
      "source": "live",
      "kernel_id": "49169628"
    },
    {
      "ref": "seshurajup/eegs-10-20-system",
      "title": "EEGS 10–20 system",
      "source": "live",
      "kernel_id": "49169468"
    },
    {
      "ref": "mpwolke/seizures-classification-parquet",
      "title": "Seizures Classification parquet",
      "source": "live",
      "kernel_id": "49169453"
    },
    {
      "ref": "docxian/hms-harmful-brain-activity-first-glance",
      "title": "🧠HMS Harmful Brain Activity - First Glance",
      "source": "live",
      "kernel_id": "49167541"
    },
    {
      "ref": "andradaolteanu/hms-dataset-analysis-xgboost-classification",
      "title": "🧠HMS: dataset analysis & XGBoost classification",
      "source": "live",
      "kernel_id": "48135535"
    },
    {
      "ref": "yijiangzhengjianhu/train-lwh-2",
      "title": "",
      "source": "meta",
      "kernel_id": "49665339"
    },
    {
      "ref": "kenanmorani/vit-transformer",
      "title": "",
      "source": "meta",
      "kernel_id": "49879408"
    },
    {
      "ref": "nityaakalra/patient-variation-eda",
      "title": "",
      "source": "meta",
      "kernel_id": "50827694"
    },
    {
      "ref": "rafaelzimmermann1/hms-spectrogram-creation-using-gpu",
      "title": "",
      "source": "meta",
      "kernel_id": "51119826"
    },
    {
      "ref": "rafaelzimmermann1/no-ensemble-new-spectrograms-label-refine",
      "title": "",
      "source": "meta",
      "kernel_id": "51944305"
    },
    {
      "ref": "seoyunje/hms-tuh-eeg-spectrogram",
      "title": "",
      "source": "meta",
      "kernel_id": "51572220"
    },
    {
      "ref": "seoyunje/nih-chest-x-ray-image-classification",
      "title": "",
      "source": "meta",
      "kernel_id": "51112441"
    },
    {
      "ref": "peperico/notebook8eec110778",
      "title": "",
      "source": "meta",
      "kernel_id": "51267820"
    },
    {
      "ref": "yijiangzhengjianhu/demo-roc",
      "title": "",
      "source": "meta",
      "kernel_id": "53504331"
    },
    {
      "ref": "lishuanglin798/r-eda",
      "title": "",
      "source": "meta",
      "kernel_id": "53229048"
    },
    {
      "ref": "adibvafafallahpour/there-model-ensemble-lb-0-3",
      "title": "",
      "source": "meta",
      "kernel_id": "53422596"
    },
    {
      "ref": "praneeshkathirvel/mlp-models-hms-praneesh",
      "title": "",
      "source": "meta",
      "kernel_id": "53761447"
    },
    {
      "ref": "naveengeorge/pipeline-transform-filter-model-timm",
      "title": "",
      "source": "meta",
      "kernel_id": "55083702"
    },
    {
      "ref": "chanchal24/brain-tumor-image-classification-using-dl",
      "title": "",
      "source": "meta",
      "kernel_id": "55567720"
    },
    {
      "ref": "mariajosesenz/stft-multiscale-cnn-submission-attempt-ee0d06",
      "title": "",
      "source": "meta",
      "kernel_id": "56749975"
    },
    {
      "ref": "christianmariothomas/parkinsons-8model-ext",
      "title": "",
      "source": "meta",
      "kernel_id": "58371972"
    },
    {
      "ref": "samvelkoch/birdclef-interactive-leaderboard-and-shake-up-plot",
      "title": "",
      "source": "meta",
      "kernel_id": "59494896"
    },
    {
      "ref": "kookmindoo/kiss-slam2",
      "title": "",
      "source": "meta",
      "kernel_id": "91200214"
    }
  ],
  "errors": []
}