{
  "capped": false,
  "live": 274,
  "meta": 276,
  "kernels": [
    {
      "ref": "coderiderai/g2net-physics-based-lb-0-639",
      "title": "G2Net - Physics Based [LB: 0.639]",
      "source": "live",
      "kernel_id": "107770631"
    },
    {
      "ref": "stefanosolazzo/gw-final",
      "title": "GW_FINAL",
      "source": "live",
      "kernel_id": "105260433"
    },
    {
      "ref": "kuntalpal/g2net-pycaret",
      "title": "g2net-pycaret",
      "source": "live",
      "kernel_id": "44707258"
    },
    {
      "ref": "ayrgthonsoraca/gwd-convolutional-efficientnetb7",
      "title": "GWD🔭 - Convolutional EfficientNetB7",
      "source": "live",
      "kernel_id": "39095975"
    },
    {
      "ref": "ayrgthonsoraca/g2net-gwd-tf-cnn",
      "title": "G2Net ⚫| GWD TF-CNN",
      "source": "live",
      "kernel_id": "38621127"
    },
    {
      "ref": "nancyallaria/final",
      "title": "Final",
      "source": "live",
      "kernel_id": "37222040"
    },
    {
      "ref": "haloen/fossasia-ai-in-physics",
      "title": "FOSSASIA-AI in Physics",
      "source": "live",
      "kernel_id": "36444561"
    },
    {
      "ref": "caterinatrimarelli/gwpy-tutorial",
      "title": "GWpy Tutorial",
      "source": "live",
      "kernel_id": "36243896"
    },
    {
      "ref": "shrinidhi05/fork-of-g2net-eda-preprocessing-model-32318d",
      "title": "Fork of G2Net EDA+Preprocessing+Model 32318d",
      "source": "live",
      "kernel_id": "35331224"
    },
    {
      "ref": "senapatirajesh/preprocessed-tfrecords",
      "title": "Preprocessed tfrecords",
      "source": "live",
      "kernel_id": "33918877"
    },
    {
      "ref": "pkkgle/project-1",
      "title": "Project_1",
      "source": "live",
      "kernel_id": "33472997"
    },
    {
      "ref": "feideshu/ahol-notebook-nofeatures",
      "title": "AHOL_notebook_nofeatures",
      "source": "live",
      "kernel_id": "33240592"
    },
    {
      "ref": "pskowadkar/data-mining-project",
      "title": "Data Mining Project",
      "source": "live",
      "kernel_id": "32262692"
    },
    {
      "ref": "ikarosalpha/gwdver2-0",
      "title": "GWDver2.0",
      "source": "live",
      "kernel_id": "31281149"
    },
    {
      "ref": "esaihuamanmeza/eda-gravitational-wave-g2net",
      "title": "EDA Gravitational Wave G2Net",
      "source": "live",
      "kernel_id": "30400633"
    },
    {
      "ref": "anubhavde/gravitational-detection",
      "title": "gravitational-detection",
      "source": "live",
      "kernel_id": "29071792"
    },
    {
      "ref": "esaihuamanmeza/cwt-en-pytorch",
      "title": "CWT en PyTorch",
      "source": "live",
      "kernel_id": "28055635"
    },
    {
      "ref": "sharonmj/efnet-stacked",
      "title": "efnet_stacked",
      "source": "live",
      "kernel_id": "27828377"
    },
    {
      "ref": "datakite/g2net-gravitational-wave-detection",
      "title": "g2net gravitational wave detection",
      "source": "live",
      "kernel_id": "27653474"
    },
    {
      "ref": "henrychibueze/gravitational-wave-analysis-and-detection",
      "title": "Gravitational Wave Analysis and Detection",
      "source": "live",
      "kernel_id": "26702187"
    },
    {
      "ref": "deanamarek/pbcqt6965",
      "title": "PBCQT6965",
      "source": "live",
      "kernel_id": "25889203"
    },
    {
      "ref": "drbeane/conv1d-attempt",
      "title": "Conv1D Attempt",
      "source": "live",
      "kernel_id": "25840469"
    },
    {
      "ref": "deanamarek/pbcqt69129",
      "title": "PBCQT69129",
      "source": "live",
      "kernel_id": "25763343"
    },
    {
      "ref": "deanamarek/cqt6965",
      "title": "CQT6965",
      "source": "live",
      "kernel_id": "25165836"
    },
    {
      "ref": "deanamarek/20-9melspecmodel",
      "title": "20-9MelSpecModel",
      "source": "live",
      "kernel_id": "24993447"
    },
    {
      "ref": "drbeane/g2net-example",
      "title": "G2Net_Example",
      "source": "live",
      "kernel_id": "24934225"
    },
    {
      "ref": "kirfedo/graw-analysis-custom",
      "title": "graw_analysis_CUSTOM",
      "source": "live",
      "kernel_id": "24007031"
    },
    {
      "ref": "aghosh14/yomama3",
      "title": "yoMama3",
      "source": "live",
      "kernel_id": "23716292"
    },
    {
      "ref": "dootdootdootdoot/yomama2",
      "title": "yoMama2",
      "source": "live",
      "kernel_id": "23716031"
    },
    {
      "ref": "slirq123/yo-mama",
      "title": "yo MAMA",
      "source": "live",
      "kernel_id": "23697884"
    },
    {
      "ref": "abiirram/g2net-efficientnet-b7-baseline-inference",
      "title": "G2Net / efficientnet_b7 / baseline [inference]",
      "source": "live",
      "kernel_id": "22490253"
    },
    {
      "ref": "chenyigen/baseline-cnn-g2net",
      "title": "baseline CNN g2net",
      "source": "live",
      "kernel_id": "22373964"
    },
    {
      "ref": "rhythmcam/pandas-basic-make-training-folds-csv",
      "title": "[pandas Basic]make training folds csv ",
      "source": "live",
      "kernel_id": "22024108"
    },
    {
      "ref": "huberthamelin/g2net",
      "title": "G2Net",
      "source": "live",
      "kernel_id": "21570314"
    },
    {
      "ref": "kirfedo/grav-waves-dataset-analysis",
      "title": "Grav waves dataset analysis",
      "source": "live",
      "kernel_id": "21318319"
    },
    {
      "ref": "gyozzza/g2net-1dcnn-perceiver",
      "title": "G2Net-1dCNN-Perceiver",
      "source": "live",
      "kernel_id": "21260322"
    },
    {
      "ref": "gyozzza/g2net-1dcnn-transformer",
      "title": "G2Net-1dCNN-Transformer",
      "source": "live",
      "kernel_id": "21112691"
    },
    {
      "ref": "mbatuhantur/gravitaionalwave",
      "title": "GravitaionalWave",
      "source": "live",
      "kernel_id": "20973462"
    },
    {
      "ref": "meaninglesslives/self-supervised-method-for-gravitation-wave-det",
      "title": "Self Supervised Method for Gravitation Wave Det",
      "source": "live",
      "kernel_id": "20959681"
    },
    {
      "ref": "analokamus/1d-cnn-densenet1d",
      "title": "[1d-CNN] DenseNet1d",
      "source": "live",
      "kernel_id": "20925582"
    },
    {
      "ref": "abhishekpundir/stratified-k-fold-splitting",
      "title": "Stratified K-Fold Splitting",
      "source": "live",
      "kernel_id": "20913132"
    },
    {
      "ref": "energydatascientist/notebookb074aad9e6",
      "title": "notebookb074aad9e6",
      "source": "live",
      "kernel_id": "20901929"
    },
    {
      "ref": "evgeniibondarenko/cnn-lstm-rgb",
      "title": "CNN LSTM RGB",
      "source": "live",
      "kernel_id": "20865064"
    },
    {
      "ref": "cocoinit23/shake-estimation",
      "title": "Shake Estimation",
      "source": "live",
      "kernel_id": "20857712"
    },
    {
      "ref": "avantikashrivastava/g2net-eda-preprocessing-model",
      "title": "G2Net EDA+Preprocessing+Model",
      "source": "live",
      "kernel_id": "20826332"
    },
    {
      "ref": "lakshit28/g2net-gravitational-wave-detection",
      "title": "G2net gravitational wave detection",
      "source": "live",
      "kernel_id": "20826278"
    },
    {
      "ref": "yudaiyamaguchi/tpu-bp-cpt",
      "title": "TPU_BP_CPT",
      "source": "live",
      "kernel_id": "20824082"
    },
    {
      "ref": "yukioi/g2net-effb7-100-seed-21-inoue",
      "title": "G2Net EffB7 100% Seed 21_INOUE",
      "source": "live",
      "kernel_id": "20797655"
    },
    {
      "ref": "ssato1219/ensemble",
      "title": "ensembleなど",
      "source": "live",
      "kernel_id": "20796392"
    },
    {
      "ref": "scaomath/g2net-periodogram-eda-of-1d-cnn-model",
      "title": "[G2Net] Periodogram EDA of 1d CNN model",
      "source": "live",
      "kernel_id": "20748422"
    },
    {
      "ref": "yamsam/g2net-soft-pl-b5-fold4",
      "title": "g2net soft PL B5 fold4",
      "source": "live",
      "kernel_id": "20728590"
    },
    {
      "ref": "yamsam/g2net-soft-pl-b5-fold3",
      "title": "g2net soft PL B5 fold3",
      "source": "live",
      "kernel_id": "20728572"
    },
    {
      "ref": "yamsam/g2net-soft-pl-b5-fold2",
      "title": "g2net soft PL B5 fold2",
      "source": "live",
      "kernel_id": "20728533"
    },
    {
      "ref": "yamsam/g2net-soft-pl-b5-fold1",
      "title": "g2net soft PL B5 fold1",
      "source": "live",
      "kernel_id": "20728431"
    },
    {
      "ref": "yamsam/g2net-soft-pl-b5-fold0",
      "title": "g2net soft PL B5 fold0",
      "source": "live",
      "kernel_id": "20725843"
    },
    {
      "ref": "thomasswain/baseline-cnn-g2net",
      "title": "baseline CNN g2net",
      "source": "live",
      "kernel_id": "20724198"
    },
    {
      "ref": "robertlangdonvinci/tez-g2net-3channel-resnest50",
      "title": "Tez_G2Net_3channel_ResNest50",
      "source": "live",
      "kernel_id": "20712174"
    },
    {
      "ref": "yamsam/g2net-tpu-soft-pseudo-path",
      "title": "G2Net: TPU Soft Pseudo Path",
      "source": "live",
      "kernel_id": "20705379"
    },
    {
      "ref": "christophermcbride/g2net-gravwave-with-fastai",
      "title": "G2Net GravWave with FastAI",
      "source": "live",
      "kernel_id": "20675063"
    },
    {
      "ref": "starkking07/g2net-effb7-100-seed-21",
      "title": "G2Net EffB7 100% Seed 21",
      "source": "live",
      "kernel_id": "20657618"
    },
    {
      "ref": "bharadwajvedula/lb-0-8716-tpu-tf-efficientnetb1-inference",
      "title": " 🔥🔥[LB:-0.8716][TPU][TF]EfficientNetB1-Inference",
      "source": "live",
      "kernel_id": "20606048"
    },
    {
      "ref": "aishikai/g2net-pytorch-lightning-training",
      "title": "G2Net Pytorch Lightning Training",
      "source": "live",
      "kernel_id": "20604640"
    },
    {
      "ref": "pranay1990/cwt-smaller-subset-training-data",
      "title": "CWT_smaller_subset_training_data",
      "source": "live",
      "kernel_id": "20596924"
    },
    {
      "ref": "bharadwajvedula/lb-0-8716-tpu-tf-efficientnetb1-training",
      "title": "🔥🔥[LB:-0.8716 ][TPU][TF]EfficientNetB1-Training",
      "source": "live",
      "kernel_id": "20591784"
    },
    {
      "ref": "a13x10/g2net-efficientnet-b7",
      "title": "G2Net efficientnet_b7",
      "source": "live",
      "kernel_id": "20591224"
    },
    {
      "ref": "yamsam/g2net-skf-path",
      "title": "G2Net: SKF Path",
      "source": "live",
      "kernel_id": "20570128"
    },
    {
      "ref": "scaomath/g2net-vision-transformer-pytorch-baseline",
      "title": "[G2Net] Vision Transformer PyTorch baseline",
      "source": "live",
      "kernel_id": "20560025"
    },
    {
      "ref": "starkking07/swin-transformer",
      "title": "Swin Transformer ",
      "source": "live",
      "kernel_id": "20559979"
    },
    {
      "ref": "scaomath/g2net-1d-cnn-gem-pool-pytorch-train-inference",
      "title": "[G2Net] 1D CNN+GeM pool PyTorch train+inference",
      "source": "live",
      "kernel_id": "20542516"
    },
    {
      "ref": "yamsam/g2net-pseudo8779-1",
      "title": "G2Net:pseudo8779-1 ",
      "source": "live",
      "kernel_id": "20473066"
    },
    {
      "ref": "scaomath/g2net-vision-transformer-starter",
      "title": "G2Net: Vision Transformer starter",
      "source": "live",
      "kernel_id": "20449494"
    },
    {
      "ref": "blankaf/g2net-train-eval-tpu",
      "title": "G2net-train-eval-TPU",
      "source": "live",
      "kernel_id": "20448898"
    },
    {
      "ref": "aishikai/g2net-pytorch-xla-rocstar-loss",
      "title": "G2Net Pytorch XLA RocStar Loss",
      "source": "live",
      "kernel_id": "20445305"
    },
    {
      "ref": "esratmaria/gravitational-wave-detection-simple-cnn-model",
      "title": "Gravitational wave detection | Simple CNN Model",
      "source": "live",
      "kernel_id": "20435780"
    },
    {
      "ref": "abhishek/clean-simple-training-with-tez",
      "title": "Clean & Simple Training with Tez",
      "source": "live",
      "kernel_id": "20422916"
    },
    {
      "ref": "callmeb/cwt-in-pytorch-that-actually-works-in-gpus",
      "title": "CWT in Pytorch that actually works in GPUs",
      "source": "live",
      "kernel_id": "20420427"
    },
    {
      "ref": "jbomitchell/effb7-normalised-18-epochs",
      "title": "EffB7 Normalised 18 Epochs",
      "source": "live",
      "kernel_id": "20418804"
    },
    {
      "ref": "firefliesqn/g2net-ensemble",
      "title": "G2Net ensemble",
      "source": "live",
      "kernel_id": "20409850"
    },
    {
      "ref": "firefliesqn/g2net-gpu-newbie",
      "title": " G2Net GPU Newbie",
      "source": "live",
      "kernel_id": "20409491"
    },
    {
      "ref": "kit716/grav-wave-detection",
      "title": "grav_wave_detection",
      "source": "live",
      "kernel_id": "20409169"
    },
    {
      "ref": "firefliesqn/g2net-tpu-newbie",
      "title": "G2Net TPU Newbie",
      "source": "live",
      "kernel_id": "20403276"
    },
    {
      "ref": "junhyeok99/g2net-efficientnetv2",
      "title": "G2Net EfficientNetv2",
      "source": "live",
      "kernel_id": "20384319"
    },
    {
      "ref": "abhishek/g2net-folds",
      "title": "g2net folds",
      "source": "live",
      "kernel_id": "20370021"
    },
    {
      "ref": "robertlangdonvinci/band-pass-g2net-model-train",
      "title": "Band_pass_g2net_model_train",
      "source": "live",
      "kernel_id": "20350514"
    },
    {
      "ref": "titericz/simulated-gw",
      "title": "Simulated GW",
      "source": "live",
      "kernel_id": "20346792"
    },
    {
      "ref": "leemop/sampling-ultimate-bad-data-using-tfrecords",
      "title": "Sampling Ultimate Bad Data Using TFrecords",
      "source": "live",
      "kernel_id": "20344093"
    },
    {
      "ref": "mightyrains/gravitational-waves-but-as-anomalies",
      "title": "Gravitational Waves, but as anomalies",
      "source": "live",
      "kernel_id": "20343490"
    },
    {
      "ref": "robertlangdonvinci/band-pass-traintest-g2net-audio-wave-data",
      "title": "Band_pass_TrainTest_G2NET_audio_wave_data",
      "source": "live",
      "kernel_id": "20343014"
    },
    {
      "ref": "snkmr0221/g2net-vqt-128x128-tfrecord-efn7-train",
      "title": "G2Net VQT 128x128 tfrecord / EFN7 / train",
      "source": "live",
      "kernel_id": "20274104"
    },
    {
      "ref": "robertlangdonvinci/testg2net-audio-wave-data",
      "title": "TestG2NET_audio_wave_data",
      "source": "live",
      "kernel_id": "20268928"
    },
    {
      "ref": "robertlangdonvinci/train-g2net-audio-wave-data",
      "title": "Train_G2NET_audio_wave_data",
      "source": "live",
      "kernel_id": "20230751"
    },
    {
      "ref": "pavfedotov/blending-g2net",
      "title": "Blending G2Net",
      "source": "live",
      "kernel_id": "20208925"
    },
    {
      "ref": "tanez94/cqt-pytorch-param-tuning-trf",
      "title": "CQT PyTorch - Param Tuning trf",
      "source": "live",
      "kernel_id": "20199250"
    },
    {
      "ref": "atamazian/cmorlet-tensorflow-cwt-demonstration",
      "title": "cmorlet-tensorflow CWT Demonstration",
      "source": "live",
      "kernel_id": "20184477"
    },
    {
      "ref": "ragnar123/g2net-effb7-100-seed-21",
      "title": "G2Net EffB7 100% Seed 21",
      "source": "live",
      "kernel_id": "20184221"
    },
    {
      "ref": "jaideepvalani/g2net-tfrec-cqt-pytorch-inference-public",
      "title": "G2Net: TFREC CQT Pytorch Inference-Public",
      "source": "live",
      "kernel_id": "20182876"
    },
    {
      "ref": "leemop/the-way-making-additional-preprocessed-tfrecords",
      "title": "The way making additional preprocessed tfrecords",
      "source": "live",
      "kernel_id": "20135690"
    },
    {
      "ref": "manjunathns/gw-wave-detection-tensorflow-rev-01-cpu",
      "title": "GW_Wave_Detection_Tensorflow_Rev_01_CPU",
      "source": "live",
      "kernel_id": "20112017"
    },
    {
      "ref": "leemop/using-preprocessed-bandfilter-tfrecords-with-all",
      "title": "Using preprocessed bandfilter tfrecords with All",
      "source": "live",
      "kernel_id": "20110977"
    },
    {
      "ref": "tanez94/cqt-pytorch-param-tuning-2-fork",
      "title": "CQT PyTorch - Param Tuning 2 fork",
      "source": "live",
      "kernel_id": "20098912"
    },
    {
      "ref": "susheelkumarsky/basic-eda-and-a-baseline-keras-model",
      "title": "Basic EDA and a Baseline Keras Model ",
      "source": "live",
      "kernel_id": "20091191"
    },
    {
      "ref": "domizianostingi/gravitational-waves-plot",
      "title": "Gravitational waves plot",
      "source": "live",
      "kernel_id": "20060451"
    },
    {
      "ref": "nesterenkomarina/load-files-to-your-pc-g2net",
      "title": "Load Files to your PC G2Net",
      "source": "live",
      "kernel_id": "20057235"
    },
    {
      "ref": "tanez94/g2net-tf-on-the-fly-cqt-tpu-training",
      "title": "G2Net: TF On-the-fly CQT TPU Training",
      "source": "live",
      "kernel_id": "20042960"
    },
    {
      "ref": "kevinpardede/ann1d-test",
      "title": "ANN1D-test",
      "source": "live",
      "kernel_id": "20016827"
    },
    {
      "ref": "yamsam/g2net-tf-on-the-fly-cqt-tpu-inference-path",
      "title": "G2Net: TF On-the-fly CQT TPU Inference Path",
      "source": "live",
      "kernel_id": "20009132"
    },
    {
      "ref": "snnclsr/g2net-pytorch-inference",
      "title": "G2Net Pytorch Inference",
      "source": "live",
      "kernel_id": "20003088"
    },
    {
      "ref": "paulrohan2020/basic-eda-and-a-baseline-keras-model",
      "title": "Basic EDA and a Baseline Keras Model ",
      "source": "live",
      "kernel_id": "19978735"
    },
    {
      "ref": "kuroyuli/g2net-modified-smart-ensembling",
      "title": "G2Net - Modified Smart Ensembling",
      "source": "live",
      "kernel_id": "19976047"
    },
    {
      "ref": "atamazian/pytorchwavelets-cwt-demonstration",
      "title": "PyTorchWavelets CWT Demonstration",
      "source": "live",
      "kernel_id": "19966946"
    },
    {
      "ref": "wabinab/gnet-1-another",
      "title": "GNET_1_another",
      "source": "live",
      "kernel_id": "19958799"
    },
    {
      "ref": "ssagar012/gravitational-waves-detection",
      "title": "Gravitational Waves Detection",
      "source": "live",
      "kernel_id": "19954622"
    },
    {
      "ref": "soumochatterjee/g2netpytorch",
      "title": "G2NetPytorch",
      "source": "live",
      "kernel_id": "19952612"
    },
    {
      "ref": "hidehisaarai1213/g2net-read-from-tfrecord-train-with-pytorch",
      "title": "G2Net: Read from TFRecord & Train with PyTorch",
      "source": "live",
      "kernel_id": "19950113"
    },
    {
      "ref": "vamsikrishnab/gw-detection-blend",
      "title": "GW_Detection_blend",
      "source": "live",
      "kernel_id": "19948631"
    },
    {
      "ref": "sapal6/g2gwd-basemodel-nnaudio-timm-fastai",
      "title": "G2GWD-baseModel-nnaudio-timm-fastai",
      "source": "live",
      "kernel_id": "19932184"
    },
    {
      "ref": "yassinealouini/signal-processing-theory-and-practice-with-pytorch",
      "title": "Signal Processing Theory and Practice with PyTorch",
      "source": "live",
      "kernel_id": "19915946"
    },
    {
      "ref": "tez6c32/cqt-pytorch-experimental-v2",
      "title": "CQT PyTorch - Experimental V2",
      "source": "live",
      "kernel_id": "19912127"
    },
    {
      "ref": "rajeshp8783/tfrecord-creation",
      "title": "TFRecord-Creation",
      "source": "live",
      "kernel_id": "19903759"
    },
    {
      "ref": "hzhaobang/g2net-pytorch-lightning-efficientnet",
      "title": "G2Net pytorch lightning EfficientNet",
      "source": "live",
      "kernel_id": "19900694"
    },
    {
      "ref": "hirayukis/g2net-efficientnet-pytorch-xla-tpu",
      "title": "G2Net / efficientnet / Pytorch xla TPU",
      "source": "live",
      "kernel_id": "19895924"
    },
    {
      "ref": "coldfir3/cqt-dataset-generator-rgb-jpg",
      "title": "CQT Dataset generator RGB-JPG",
      "source": "live",
      "kernel_id": "19856655"
    },
    {
      "ref": "estebansnchezgmez/g2net-tf-on-the-fly-cqt-tpu-training",
      "title": "G2Net: TF On-the-fly CQT TPU Training",
      "source": "live",
      "kernel_id": "19849664"
    },
    {
      "ref": "tanez94/cqt-pytorch-stable-v1",
      "title": "CQT PyTorch - Stable V1",
      "source": "live",
      "kernel_id": "19846357"
    },
    {
      "ref": "mistag/mean-and-std-calculations-for-the-entire-dataset",
      "title": "Mean and std calculations for the entire dataset",
      "source": "live",
      "kernel_id": "19846010"
    },
    {
      "ref": "sourabhy/gravitational-wave-detection",
      "title": "Gravitational Wave Detection",
      "source": "live",
      "kernel_id": "19830594"
    },
    {
      "ref": "sapal6/g2gwd-base-model-fastai-resnet",
      "title": "G2GWD-Base-model-fastai-resnet",
      "source": "live",
      "kernel_id": "19829118"
    },
    {
      "ref": "jeanpaulyepes/entrega",
      "title": "Entrega",
      "source": "live",
      "kernel_id": "19820676"
    },
    {
      "ref": "mozhiwenmzw/get-data-id-faster-during-tpu-inference",
      "title": "Get data ID faster during TPU Inference",
      "source": "live",
      "kernel_id": "19801705"
    },
    {
      "ref": "abhinaythurlapati/g2net-gw-detection",
      "title": "G2NET GW Detection",
      "source": "live",
      "kernel_id": "19778141"
    },
    {
      "ref": "dragonzhang/g2net-tf-effnetv2-l-cqt-tpu-training",
      "title": "G2Net: TF effnetv2 L CQT TPU Training",
      "source": "live",
      "kernel_id": "19766287"
    },
    {
      "ref": "coldfir3/ensemble-of-ensemble-of-ensemble-public-lb-0-99",
      "title": "Ensemble of Ensemble of Ensemble... Public LB 0.99",
      "source": "live",
      "kernel_id": "19748395"
    },
    {
      "ref": "dragonzhang/g2net-tf-effnetv2-cqt-tpu-inference",
      "title": "G2Net: TF effnetv2  CQT TPU Inference",
      "source": "live",
      "kernel_id": "19712066"
    },
    {
      "ref": "brandonbenton/gravitational-wave-detection",
      "title": "Gravitational Wave Detection",
      "source": "live",
      "kernel_id": "19710692"
    },
    {
      "ref": "nizado/g2net-model",
      "title": "G2Net - Model",
      "source": "live",
      "kernel_id": "19658703"
    },
    {
      "ref": "thimac/gravity-2-prepare-data",
      "title": "gravity_2_prepare_data",
      "source": "live",
      "kernel_id": "19650727"
    },
    {
      "ref": "huchenjiang/g2net-tf-on-the-fly-cqt-tpu-training",
      "title": "G2Net: TF On-the-fly CQT TPU Training",
      "source": "live",
      "kernel_id": "19648143"
    },
    {
      "ref": "leemop/modulizing",
      "title": "Modulizing",
      "source": "live",
      "kernel_id": "19634279"
    },
    {
      "ref": "hidehisaarai1213/g2net-tf-on-the-fly-cqt-tpu-inference",
      "title": "G2Net: TF On-the-fly CQT TPU Inference",
      "source": "live",
      "kernel_id": "19630765"
    },
    {
      "ref": "hidehisaarai1213/g2net-tf-on-the-fly-cqt-tpu-training",
      "title": "G2Net: TF On-the-fly CQT TPU Training",
      "source": "live",
      "kernel_id": "19604493"
    },
    {
      "ref": "hinamimi/visualization-gravitational-wave-with-librosa",
      "title": "Visualization: Gravitational Wave with librosa",
      "source": "live",
      "kernel_id": "19590970"
    },
    {
      "ref": "mistag/wavelet1d-custom-keras-wavelet-transform-layer",
      "title": "Wavelet1D: Custom Keras wavelet transform layer",
      "source": "live",
      "kernel_id": "19576188"
    },
    {
      "ref": "artemzapara/g2net-clean-eda-cqt",
      "title": "G2Net clean EDA + CQT",
      "source": "live",
      "kernel_id": "19565971"
    },
    {
      "ref": "anjum48/continuous-wavelet-transform-cwt-in-pytorch",
      "title": "Continuous wavelet transform (CWT) in PyTorch",
      "source": "live",
      "kernel_id": "19522582"
    },
    {
      "ref": "vamsikrishnab/cqt-g2net-efficientnetv2-training",
      "title": "cqt-g2net-efficientnetv2-training",
      "source": "live",
      "kernel_id": "19519845"
    },
    {
      "ref": "kirderf/get-gs-name",
      "title": "get gs name",
      "source": "live",
      "kernel_id": "19511946"
    },
    {
      "ref": "vamsikrishnab/cqt-g2net-efficientnetb1-tpu-inference",
      "title": "CQT G2Net EfficientNetB1[TPU Inference] ",
      "source": "live",
      "kernel_id": "19506564"
    },
    {
      "ref": "jamesmcguigan/gwpy-tutorial",
      "title": "GWpy Tutorial",
      "source": "live",
      "kernel_id": "19468810"
    },
    {
      "ref": "itsuki9180/cqt-g2net-efficientnetv2b0-tpu-training",
      "title": "CQT G2Net EfficientNetV2B0[TPU Training] ",
      "source": "live",
      "kernel_id": "19454346"
    },
    {
      "ref": "itsuki9180/cqt-g2net-efficientnetv2b0-tpu-inference",
      "title": "CQT G2Net EfficientNetV2B0 [TPU Inference] ",
      "source": "live",
      "kernel_id": "19450765"
    },
    {
      "ref": "junlilu/train-bandpass-cwt-efficientnet",
      "title": "train_bandpass_cwt_efficientnet",
      "source": "live",
      "kernel_id": "19447820"
    },
    {
      "ref": "mozhiwenmzw/g2net-efficientnet-b7-nontrainable-cqt-layer",
      "title": "G2Net / efficientnet_b7 / nontrainable cqt layer",
      "source": "live",
      "kernel_id": "19442689"
    },
    {
      "ref": "zarif98sjs/g-wave-seresnet50-inference",
      "title": "G-Wave seresnet50 Inference",
      "source": "live",
      "kernel_id": "19418281"
    },
    {
      "ref": "khhassan/eda-loading-and-visualizing-data",
      "title": "EDA-Loading and Visualizing Data",
      "source": "live",
      "kernel_id": "19415411"
    },
    {
      "ref": "mahmoudhelmy957/g2net-eda",
      "title": "G2Net_EDA",
      "source": "live",
      "kernel_id": "19406039"
    },
    {
      "ref": "mohammadasimbluemoon/eda-loading-and-visualizing-data",
      "title": "EDA-Loading and Visualizing Data",
      "source": "live",
      "kernel_id": "19390787"
    },
    {
      "ref": "hidehisaarai1213/g2net-waveform-tfrecords-creation-test-5-9",
      "title": "G2Net: Waveform TFRecords Creation test 5 - 9 ",
      "source": "live",
      "kernel_id": "19270832"
    },
    {
      "ref": "hidehisaarai1213/g2net-waveform-tfrecords-creation-test-0-4",
      "title": "G2Net: Waveform TFRecords Creation test 0 - 4",
      "source": "live",
      "kernel_id": "19270618"
    },
    {
      "ref": "hidehisaarai1213/g2net-waveform-tfrecords-creation-15-19",
      "title": "G2Net: Waveform TFRecords Creation 15 - 19",
      "source": "live",
      "kernel_id": "19246725"
    },
    {
      "ref": "hidehisaarai1213/g2net-waveform-tfrecords-creation-10-14",
      "title": "G2Net: Waveform TFRecords Creation 10 - 14",
      "source": "live",
      "kernel_id": "19246669"
    },
    {
      "ref": "hidehisaarai1213/g2net-waveform-tfrecords-creation-5-9",
      "title": "G2Net: Waveform TFRecords Creation 5 - 9",
      "source": "live",
      "kernel_id": "19246602"
    },
    {
      "ref": "hidehisaarai1213/g2net-waveform-tfrecords",
      "title": "G2Net: Waveform TFRecords",
      "source": "live",
      "kernel_id": "19226747"
    },
    {
      "ref": "xuxu1234/lb-0-866-g2net-efficientnetb7-tpu-inference",
      "title": "🎉LB:0.866 G2Net EfficientNetB7[TPU Inference] ",
      "source": "live",
      "kernel_id": "19191192"
    },
    {
      "ref": "pranay1990/pranay-g2net-gw",
      "title": "Pranay_G2Net_GW",
      "source": "live",
      "kernel_id": "19170945"
    },
    {
      "ref": "kaitohonda/g2net-analysis-starter",
      "title": "G2Net_Analysis_Starter",
      "source": "live",
      "kernel_id": "19145218"
    },
    {
      "ref": "nesslc/ondas-grav",
      "title": "Ondas Grav",
      "source": "live",
      "kernel_id": "19061242"
    },
    {
      "ref": "dankopenko/g2net-rnn-starter-from-spectrogram",
      "title": "G2Net: RNN Starter from Spectrogram",
      "source": "live",
      "kernel_id": "19049684"
    },
    {
      "ref": "johnakwei/gravitational-wave-detection-in-r",
      "title": "Gravitational Wave Detection in R",
      "source": "live",
      "kernel_id": "19036015"
    },
    {
      "ref": "jcesquiveld/efficientnet-cqt-pytorch-lightning-starter",
      "title": "EfficientNet CQT pytorch-lightning starter",
      "source": "live",
      "kernel_id": "19012099"
    },
    {
      "ref": "ligtfeather/g2net-fastai-with-augments-cqt-tta-w-b",
      "title": "G2Net: FastAI with Augments + CQT + TTA + W&B",
      "source": "live",
      "kernel_id": "18945356"
    },
    {
      "ref": "maxdner/preprocessing-whitened-signal-tfrecords",
      "title": "Preprocessing: Whitened Signal tfrecords",
      "source": "live",
      "kernel_id": "18944362"
    },
    {
      "ref": "kevinmcisaac/g2nettfrec",
      "title": "G2NetTFRec",
      "source": "live",
      "kernel_id": "18915015"
    },
    {
      "ref": "masatotaka/g2net-ligo-and-train-data-gw-detection",
      "title": "G2Net - LIGO and train data GW detection",
      "source": "live",
      "kernel_id": "18899054"
    },
    {
      "ref": "abdelrahmanakram/sneaky-space-time",
      "title": "Sneaky Space-Time",
      "source": "live",
      "kernel_id": "18885246"
    },
    {
      "ref": "somayyehgholami/1-g2net-smart-ensembling",
      "title": "[1] G2Net - Smart Ensembling ",
      "source": "live",
      "kernel_id": "18867857"
    },
    {
      "ref": "itsuki9180/g2net-oof-weight-optimizer",
      "title": "G2Net_oof_weight_optimizer",
      "source": "live",
      "kernel_id": "18865134"
    },
    {
      "ref": "leolu1998/my-blend-for-g2net",
      "title": "MY blend for G2NET",
      "source": "live",
      "kernel_id": "18842873"
    },
    {
      "ref": "cittasj/gwpy-qct-analysis",
      "title": "gwpy qct analysis",
      "source": "live",
      "kernel_id": "18807840"
    },
    {
      "ref": "xuzongniubi/g2net-efficientnet-b7-baseline-training",
      "title": "G2Net / efficientnet_b7 / baseline [training]",
      "source": "live",
      "kernel_id": "18765290"
    },
    {
      "ref": "mistag/reverse-engineering-create-clean-gw-signals",
      "title": "Reverse engineering: Create clean GW signals ",
      "source": "live",
      "kernel_id": "18755717"
    },
    {
      "ref": "maxdner/preprocessing-most-important-frequencies",
      "title": "Preprocessing: Most important Frequencies",
      "source": "live",
      "kernel_id": "18739120"
    },
    {
      "ref": "wabinab/g2net-train-melspec",
      "title": "g2net_train_melspec",
      "source": "live",
      "kernel_id": "18731360"
    },
    {
      "ref": "maxdner/signal-preprocessing-whitening-bandpass-filter",
      "title": "Signal Preprocessing: Whitening + Bandpass Filter",
      "source": "live",
      "kernel_id": "18695787"
    },
    {
      "ref": "lekynam2000/g2-net-effnet-minimal-version",
      "title": "G2 Net - EffNet -Minimal Version",
      "source": "live",
      "kernel_id": "18633345"
    },
    {
      "ref": "sarodyatawatta/klt-bam-method",
      "title": "KLT-BAM method",
      "source": "live",
      "kernel_id": "18624348"
    },
    {
      "ref": "ayuraj/create-constant-q-transformed-dataset",
      "title": "Create Constant Q Transformed Dataset",
      "source": "live",
      "kernel_id": "18565230"
    },
    {
      "ref": "vincentdumetz/g2net-tf-dataset-predict",
      "title": "G2Net TF Dataset predict",
      "source": "live",
      "kernel_id": "18560700"
    },
    {
      "ref": "tttzof351/g2net-stft-cqt-cwt",
      "title": "G2Net STFT CQT CWT",
      "source": "live",
      "kernel_id": "18513824"
    },
    {
      "ref": "paapchannel/notebook79424bdcf2",
      "title": "notebook79424bdcf2",
      "source": "live",
      "kernel_id": "18508842"
    },
    {
      "ref": "yashvardhanprasad/dataset-of-gwpy",
      "title": "Dataset of gwpy",
      "source": "live",
      "kernel_id": "18501526"
    },
    {
      "ref": "ammarnassanalhajali/g2net-keras-training",
      "title": "🕳️ G2Net Keras [Training]",
      "source": "live",
      "kernel_id": "18499649"
    },
    {
      "ref": "cnhung/kaggle-g2net-noise-analysis-feature-extraction",
      "title": "Kaggle G2NET Noise Analysis/Feature Extraction",
      "source": "live",
      "kernel_id": "18499561"
    },
    {
      "ref": "kad99kev/g2net",
      "title": "G2Net",
      "source": "live",
      "kernel_id": "18496620"
    },
    {
      "ref": "abhishekprajapat/g2net-audio-spectrogram-transformer",
      "title": "G2Net: Audio Spectrogram Transformer",
      "source": "live",
      "kernel_id": "18492667"
    },
    {
      "ref": "vungocbinh/g2net-tfrec-dataset-train-0-4",
      "title": "g2net-tfrec-dataset-train[0-4]",
      "source": "live",
      "kernel_id": "18486118"
    },
    {
      "ref": "snkmr0221/g2net-vqt-features-32x32-or-128x128-img-tfrecord",
      "title": "G2Net VQT features 32x32 or 128x128 img tfrecord",
      "source": "live",
      "kernel_id": "18481818"
    },
    {
      "ref": "vungocbinh/g2net-tfrec-dataset",
      "title": "g2net-tfrec-dataset",
      "source": "live",
      "kernel_id": "18481701"
    },
    {
      "ref": "ligtfeather/pl-1fold-cqt-deepspeed-op-baseline-w-b-84",
      "title": "⚡️PL 1Fold CQT + DeepSpeed Op Baseline + W&B [.84]",
      "source": "live",
      "kernel_id": "18480233"
    },
    {
      "ref": "wabinab/submission-baseline",
      "title": "submission baseline",
      "source": "live",
      "kernel_id": "18476756"
    },
    {
      "ref": "ammarnassanalhajali/g2net-keras-inference",
      "title": "🕳️G2Net Keras [Inference]",
      "source": "live",
      "kernel_id": "18471521"
    },
    {
      "ref": "aramos/eda-g2net-gravitational-wave-detection-2021",
      "title": "EDA - G2Net Gravitational Wave Detection 2021  ",
      "source": "live",
      "kernel_id": "18471483"
    },
    {
      "ref": "vungocbinh/g2net-tensorflow-tfrec",
      "title": "g2net-tensorflow-tfrec",
      "source": "live",
      "kernel_id": "18467650"
    },
    {
      "ref": "rawaaelghali/g2net-gravitational-starter-eda",
      "title": "G2Net_Gravitational - Starter EDA",
      "source": "live",
      "kernel_id": "18442615"
    },
    {
      "ref": "kevinmcisaac/g2net-spectral-whitening",
      "title": "G2Net Spectral Whitening",
      "source": "live",
      "kernel_id": "18437579"
    },
    {
      "ref": "rijuvaish/gravitational-wave-detection-ensemble-tf",
      "title": "Gravitational Wave Detection Ensemble TF",
      "source": "live",
      "kernel_id": "18429901"
    },
    {
      "ref": "stpeteishii/g2net-rolling-max-visualize",
      "title": "G2Net rolling max visualize",
      "source": "live",
      "kernel_id": "18400099"
    },
    {
      "ref": "miklgr500/eda-g2net-efficientnetb1-embeding-grad-cam",
      "title": "[EDA]G2Net EfficientNetB1 Embeding & Grad-CAM",
      "source": "live",
      "kernel_id": "18397351"
    },
    {
      "ref": "wabinab/gnet-1",
      "title": "GNET_1",
      "source": "live",
      "kernel_id": "18392780"
    },
    {
      "ref": "fabienbenot/g2net-eda-and-modeling",
      "title": "🕳️G2Net🕳️ - EDA and Modeling",
      "source": "live",
      "kernel_id": "18384552"
    },
    {
      "ref": "sayantansadhu/problem-explanation-data-processing-and-pytorch",
      "title": "Problem Explanation Data Processing and Pytorch 💫",
      "source": "live",
      "kernel_id": "18377522"
    },
    {
      "ref": "capiru/g2net-roc-star-maximize-auc",
      "title": "G2Net - ROC-Star -> Maximize AUC",
      "source": "live",
      "kernel_id": "18362231"
    },
    {
      "ref": "ammarnassanalhajali/g2net-eda-signal-transformations",
      "title": "🕳️G2Net - EDA & Signal Transformations",
      "source": "live",
      "kernel_id": "18356519"
    },
    {
      "ref": "vincentdumetz/g2net-tf-dataset-starter",
      "title": "G2Net TF Dataset Starter",
      "source": "live",
      "kernel_id": "18355078"
    },
    {
      "ref": "charraxeon/g2net-notebook",
      "title": "G2Net-Notebook",
      "source": "live",
      "kernel_id": "18352235"
    },
    {
      "ref": "jagdmir/g2net-gravitational-starter-eda",
      "title": "G2Net_Gravitational - Starter EDA",
      "source": "live",
      "kernel_id": "18350541"
    },
    {
      "ref": "itsuki9180/g2net-tensorflow-tpu-starter",
      "title": "G2Net TensorFlow TPU starter",
      "source": "live",
      "kernel_id": "18350227"
    },
    {
      "ref": "h053473666/use-tensorflow-tpu-to-decode-npy-files",
      "title": "Use tensorflow (TPU) to decode npy files",
      "source": "live",
      "kernel_id": "18349372"
    },
    {
      "ref": "miklgr500/cqt-g2net-efficientnetb7-tpu-inference",
      "title": "CQT G2Net EfficientNetB7[TPU Inference] ",
      "source": "live",
      "kernel_id": "18348701"
    },
    {
      "ref": "itsuki9180/g2net-create-image-tfrecords",
      "title": "G2Net Create image TFRecords",
      "source": "live",
      "kernel_id": "18346936"
    },
    {
      "ref": "quantumphantom/alan-s-edit-g2net-eda-and-modeling",
      "title": "Alan's edit - 🕳️G2Net🕳️ - EDA and Modeling",
      "source": "live",
      "kernel_id": "18342930"
    },
    {
      "ref": "miklgr500/q-transform-tfrecords-test-0-1",
      "title": "Q-Transform TFRecords Test 0-1",
      "source": "live",
      "kernel_id": "18340099"
    },
    {
      "ref": "atamazian/nnaudio-constant-q-transform-demonstration",
      "title": "nnAudio Constant Q-transform Demonstration",
      "source": "live",
      "kernel_id": "18336654"
    },
    {
      "ref": "thedrcat/intro-to-signal-processing-for-absolute-beginners",
      "title": "Intro to Signal Processing for Absolute Beginners",
      "source": "live",
      "kernel_id": "18324318"
    },
    {
      "ref": "tensorchoko/g2net-gravitational-eda",
      "title": "⬛G2Net Gravitational  EDA　",
      "source": "live",
      "kernel_id": "18320239"
    },
    {
      "ref": "snkmr0221/g2net-visualize-fft-amplitude-phase-wavelet",
      "title": "G2Net Visualize (FFT amplitude, phase, wavelet)",
      "source": "live",
      "kernel_id": "18319376"
    },
    {
      "ref": "kneroma/g2net-fast-and-almost-accurate-detector",
      "title": "G2Net: Fast and Almost Accurate Detector",
      "source": "live",
      "kernel_id": "18311140"
    },
    {
      "ref": "rodolphelampe/pycbc-making-images",
      "title": "PyCBC: Making Images",
      "source": "live",
      "kernel_id": "18305138"
    },
    {
      "ref": "ayuraj/g2net-quick-eda-and-cqt-w-b",
      "title": "🌌 G2Net: Quick EDA and CQT + W&B",
      "source": "live",
      "kernel_id": "18303151"
    },
    {
      "ref": "xhlulu/g2net-rnn-starter-from-spectrogram",
      "title": "G2Net: RNN Starter from Spectrogram",
      "source": "live",
      "kernel_id": "18302805"
    },
    {
      "ref": "muhakabartay/eda-g2net-gw-detection",
      "title": "[EDA] G2Net GW Detection",
      "source": "live",
      "kernel_id": "18302267"
    },
    {
      "ref": "miklgr500/1-let-s-blend-lb-0-872-oops",
      "title": "#1 Let's Blend [LB~0.872][Oops...]",
      "source": "live",
      "kernel_id": "18299311"
    },
    {
      "ref": "piantic/g2net-spectrogram-generation-test-sr-2048",
      "title": "G2Net / Spectrogram Generation [test]-SR 2048",
      "source": "live",
      "kernel_id": "18296823"
    },
    {
      "ref": "piantic/g2net-spectrogram-generation-train-sr-2048",
      "title": "G2Net / Spectrogram Generation [train]- SR 2048",
      "source": "live",
      "kernel_id": "18296645"
    },
    {
      "ref": "brsdincer/g2net-gravitational-competition-educational",
      "title": "G2Net Gravitational Competition / Educational",
      "source": "live",
      "kernel_id": "18296337"
    },
    {
      "ref": "andradaolteanu/g2net-searching-the-sky-pytorch-effnet-w-meta",
      "title": "🌌 G2Net Searching the Sky: PyTorch EffNet w/ Meta",
      "source": "live",
      "kernel_id": "18285246"
    },
    {
      "ref": "miklgr500/q-transform-tfrecords",
      "title": "Q-Transform TFRecords",
      "source": "live",
      "kernel_id": "18285192"
    },
    {
      "ref": "miklgr500/g2net-efficientnetb1-tpu-evaluate",
      "title": " G2Net EfficientNetB1[TPU Evaluate]",
      "source": "live",
      "kernel_id": "18284978"
    },
    {
      "ref": "thedrcat/data-preprocessing-with-gwpy-1",
      "title": "Data Preprocessing with GWPy (1)",
      "source": "live",
      "kernel_id": "18283863"
    },
    {
      "ref": "heyytanay/training-g2net-pytorch-trainer-kfolds-w-b",
      "title": "[TRAINING] G2Net PyTorch Trainer & Kfolds + W&B 🚀",
      "source": "live",
      "kernel_id": "18283652"
    },
    {
      "ref": "yseeker/singlemodel-lb-0-859-efficientnetv2-rw-s-via-tez",
      "title": "[singlemodel LB 0.859] efficientnetv2_rw_s via Tez",
      "source": "live",
      "kernel_id": "18282048"
    },
    {
      "ref": "capiru/g2net-starter-easy-training-model-gpu-tpu",
      "title": "G2Net - [Starter/EASY] Training Model GPU/TPU",
      "source": "live",
      "kernel_id": "18281881"
    },
    {
      "ref": "allunia/signal-where-are-you",
      "title": "Signal, where are you?",
      "source": "live",
      "kernel_id": "18277302"
    },
    {
      "ref": "miklgr500/g2net-test-0-3",
      "title": "G2Net Test 0-3",
      "source": "live",
      "kernel_id": "18277246"
    },
    {
      "ref": "yasufuminakama/g2net-efficientnet-b7-baseline-inference",
      "title": "G2Net / efficientnet_b7 / baseline [inference]",
      "source": "live",
      "kernel_id": "18277173"
    },
    {
      "ref": "aakashnain/compare-signals-interactively",
      "title": "Compare signals interactively!",
      "source": "live",
      "kernel_id": "18276603"
    },
    {
      "ref": "bsridatta/g2net-getting-started-pytorch-lightning",
      "title": "G2Net - Getting Started - PyTorch Lightning ⚡",
      "source": "live",
      "kernel_id": "18276119"
    },
    {
      "ref": "miklgr500/g2net-efficientnetb1-tpu-training-cv-0-821",
      "title": "G2Net EfficientNetB1[TPU Training] [CV~0.821]",
      "source": "live",
      "kernel_id": "18274997"
    },
    {
      "ref": "yasufuminakama/g2net-efficientnet-b7-baseline-training",
      "title": "G2Net / efficientnet_b7 / baseline [training]",
      "source": "live",
      "kernel_id": "18274907"
    },
    {
      "ref": "tamoghna96saha/g2net-end-to-end-pipeline",
      "title": "G2Net - End-to-End Pipeline",
      "source": "live",
      "kernel_id": "18274070"
    },
    {
      "ref": "yasufuminakama/g2net-spectrogram-generation-test",
      "title": "G2Net / Spectrogram Generation [test]",
      "source": "live",
      "kernel_id": "18272975"
    },
    {
      "ref": "yasufuminakama/g2net-spectrogram-generation-train",
      "title": "G2Net / Spectrogram Generation [train]",
      "source": "live",
      "kernel_id": "18272660"
    },
    {
      "ref": "thedrcat/g2net-fastai-resnet34-starter-mel",
      "title": "G2Net fastai resnet34 starter MEL",
      "source": "live",
      "kernel_id": "18269326"
    },
    {
      "ref": "alexnitz/pycbc-making-images",
      "title": "PyCBC: Making Images",
      "source": "live",
      "kernel_id": "18268903"
    },
    {
      "ref": "abhishek1aa/g2net-exploring-data-representations",
      "title": "G2Net Exploring Data representations",
      "source": "live",
      "kernel_id": "18265417"
    },
    {
      "ref": "thedrcat/g2net-fastai-resnet34-starter",
      "title": "G2Net fastai resnet34 starter",
      "source": "live",
      "kernel_id": "18263459"
    },
    {
      "ref": "aninda/g2net-fastai",
      "title": "G2Net_fastai",
      "source": "live",
      "kernel_id": "18260377"
    },
    {
      "ref": "msafi04/g2net-gravitational-wave-detection",
      "title": "G2Net Gravitational Wave Detection",
      "source": "live",
      "kernel_id": "18259367"
    },
    {
      "ref": "samusram/g2net-example-of-sampling-positive-neg-cases",
      "title": "G2Net - Example of Sampling Positive/Neg. cases",
      "source": "live",
      "kernel_id": "18259272"
    },
    {
      "ref": "rikofadla/g2-starter-and-eda-riko-fadla",
      "title": "G2 Starter And EDA- Riko Fadla",
      "source": "live",
      "kernel_id": "18256341"
    },
    {
      "ref": "eladwar/madlad-nn",
      "title": "MADLAD-NN",
      "source": "live",
      "kernel_id": "18254473"
    },
    {
      "ref": "mistag/data-preprocessing-with-gwpy",
      "title": "Data Preprocessing with GWPy",
      "source": "live",
      "kernel_id": "18253989"
    },
    {
      "ref": "miklgr500/spector-power-tfrecords",
      "title": "Spector Power(TFRecords)",
      "source": "live",
      "kernel_id": "18253626"
    },
    {
      "ref": "saraei1pyr/data-visualization",
      "title": "Data Visualization",
      "source": "live",
      "kernel_id": "18253369"
    },
    {
      "ref": "farhanhaikhan/gw-analysis-feature-engg-predictions",
      "title": "GW Analysis + Feature Engg + Predictions",
      "source": "live",
      "kernel_id": "18252286"
    },
    {
      "ref": "tanyadayanand/gravitational-wave-detection-eda",
      "title": "Gravitational Wave Detection - EDA",
      "source": "live",
      "kernel_id": "18252230"
    },
    {
      "ref": "kool777/g2net-wave-detection-detailed-eda",
      "title": "G2Net Wave Detection [Detailed EDA]",
      "source": "live",
      "kernel_id": "18251972"
    },
    {
      "ref": "mpwolke/rogue-black-holes",
      "title": "Rogue Black Holes",
      "source": "live",
      "kernel_id": "18251664"
    },
    {
      "ref": "headsortails/when-stars-collide-g2net-eda",
      "title": "When Stars Collide - G2Net EDA",
      "source": "live",
      "kernel_id": "18251153"
    },
    {
      "ref": "samusram/g2net-mapping-id-to-file-path",
      "title": "G2Net - mapping ID to file path",
      "source": "live",
      "kernel_id": "18250961"
    },
    {
      "ref": "nayuts/let-s-visualize-data-to-understand",
      "title": "Let's visualize data to understand🌌",
      "source": "live",
      "kernel_id": "18250839"
    },
    {
      "ref": "drcapa/gt2net-starter",
      "title": "GT2Net_Starter",
      "source": "live",
      "kernel_id": "18250441"
    },
    {
      "ref": "mrigendraagrawal/tf-g2net-eda-and-starter",
      "title": "TF G2Net EDA and Starter",
      "source": "live",
      "kernel_id": "18250211"
    },
    {
      "ref": "maheswarareddyp/gw-mahesh",
      "title": "GW_Mahesh",
      "source": "live",
      "kernel_id": "18249924"
    },
    {
      "ref": "ihelon/g2net-eda-and-modeling",
      "title": "🕳️G2Net🕳️ - EDA and Modeling",
      "source": "live",
      "kernel_id": "18249830"
    },
    {
      "ref": "miklgr500/cqt-g2net-efficientnetb7-tpu-training-w-b",
      "title": "",
      "source": "meta",
      "kernel_id": "18323296"
    },
    {
      "ref": "pseudotensor/hdf5-to-sft",
      "title": "",
      "source": "meta",
      "kernel_id": "33881887"
    }
  ],
  "errors": []
}