{
  "capped": false,
  "live": 138,
  "meta": 142,
  "kernels": [
    {
      "ref": "jtv199/cnn-2d-basic-solution-powered-by-fast-ai",
      "title": "CNN 2D Basic Solution Powered by fast.ai",
      "source": "live",
      "kernel_id": "94085547"
    },
    {
      "ref": "zarizky77/submission-2-resnet50",
      "title": "Submission 2 - ResNet50 :)",
      "source": "live",
      "kernel_id": "21522003"
    },
    {
      "ref": "ramngulln/versi-n-buena",
      "title": "Versión buena",
      "source": "live",
      "kernel_id": "16059917"
    },
    {
      "ref": "wpolatkan/new-fastai-audio",
      "title": "New Fastai.audio",
      "source": "live",
      "kernel_id": "13431792"
    },
    {
      "ref": "obione26/fat2019-hdf5-how-to-create-this-dataset",
      "title": "FAT2019 HDF5 - How to create this dataset",
      "source": "live",
      "kernel_id": "11618739"
    },
    {
      "ref": "onuragmaji2020/curated-without-aug-test",
      "title": "Curated without Aug test",
      "source": "live",
      "kernel_id": "11511526"
    },
    {
      "ref": "obione26/freesound-audio-tagging-feature-extraction",
      "title": "Freesound Audio Tagging - Feature extraction",
      "source": "live",
      "kernel_id": "11488561"
    },
    {
      "ref": "obione26/data-exploration-and-modeling-with-librosa",
      "title": "Data exploration and modeling with Librosa",
      "source": "live",
      "kernel_id": "11198226"
    },
    {
      "ref": "sudarsanvs/free-sound-audio-tagging",
      "title": "free sound audio tagging",
      "source": "live",
      "kernel_id": "9585639"
    },
    {
      "ref": "brahma0545/librosa-test",
      "title": "librosa_test",
      "source": "live",
      "kernel_id": "9584878"
    },
    {
      "ref": "wenzhezhao/beginner-s-guide-to-audio-data-2",
      "title": "Beginner's Guide to Audio Data 2",
      "source": "live",
      "kernel_id": "8087255"
    },
    {
      "ref": "thegrims/aidannotebook",
      "title": "aidanNotebook",
      "source": "live",
      "kernel_id": "6928122"
    },
    {
      "ref": "adnanzaidi/beginner-s-guide-to-audio-data-2",
      "title": "Beginner's Guide to Audio Data 2",
      "source": "live",
      "kernel_id": "6385494"
    },
    {
      "ref": "kaerunantoka/simple-cnn-image-size-299",
      "title": "Simple CNN image size 299",
      "source": "live",
      "kernel_id": "4887483"
    },
    {
      "ref": "kaerunantoka/distillation-implementation-with-freesound2",
      "title": "Distillation Implementation with Freesound2",
      "source": "live",
      "kernel_id": "4887442"
    },
    {
      "ref": "mithlesh14/sound-tagging",
      "title": "sound tagging",
      "source": "live",
      "kernel_id": "4875420"
    },
    {
      "ref": "simongrest/trainable-pcen-frontend-in-pytorch",
      "title": "Trainable PCEN Frontend in Pytorch",
      "source": "live",
      "kernel_id": "4584469"
    },
    {
      "ref": "osciiart/freesound2019-presentation",
      "title": "Freesound2019_Presentation",
      "source": "live",
      "kernel_id": "4559806"
    },
    {
      "ref": "verstand/audio-pytorch",
      "title": "audio_pytorch",
      "source": "live",
      "kernel_id": "4557279"
    },
    {
      "ref": "neonninja/fast-mfcc-rf-golf",
      "title": "fast mfcc rf golf",
      "source": "live",
      "kernel_id": "4486569"
    },
    {
      "ref": "ebouteillon/12th-public-lb-inference-kernel-using-fastai",
      "title": "[12th public LB] Inference Kernel using fastai",
      "source": "live",
      "kernel_id": "4409763"
    },
    {
      "ref": "hakkoomato/proyecto",
      "title": "proyecto",
      "source": "live",
      "kernel_id": "4398070"
    },
    {
      "ref": "vzaguskin/fat-2019-80-place-public-lb-solution-lwlrap-70-2",
      "title": "FAT 2019 80 place public LB solution(lwlrap 70.2)",
      "source": "live",
      "kernel_id": "4387837"
    },
    {
      "ref": "sorokin/spectral-distortion-model",
      "title": "Spectral Distortion Model",
      "source": "live",
      "kernel_id": "4297511"
    },
    {
      "ref": "theoviel/9th-place-modeling-kernel",
      "title": "9th Place Modeling Kernel",
      "source": "live",
      "kernel_id": "4281577"
    },
    {
      "ref": "hidehisaarai1213/freesound-7th-place-solution",
      "title": "Freesound 7th place solution",
      "source": "live",
      "kernel_id": "4274551"
    },
    {
      "ref": "filipmulier/fit-and-pred-res34-224-ttam-noisy",
      "title": "Fit and Pred  Res34 224 ttam noisy",
      "source": "live",
      "kernel_id": "4224222"
    },
    {
      "ref": "ashishsinhaiitr/2d-dense-cnn",
      "title": "2D dense CNN ",
      "source": "live",
      "kernel_id": "4223043"
    },
    {
      "ref": "osciiart/make-final-submission2",
      "title": "make_final_submission2",
      "source": "live",
      "kernel_id": "4214780"
    },
    {
      "ref": "osciiart/make-final-submission1",
      "title": "make_final_submission1",
      "source": "live",
      "kernel_id": "4214635"
    },
    {
      "ref": "yangsaewon/final-submit",
      "title": "final_submit",
      "source": "live",
      "kernel_id": "4206902"
    },
    {
      "ref": "joelstan/lstm-with-custom-spectrograms",
      "title": "LSTM With Custom Spectrograms",
      "source": "live",
      "kernel_id": "4202011"
    },
    {
      "ref": "guoyang0601/fat19-kfolder-training-fastai-sample",
      "title": "FAT19-Kfolder-Training-FastAI-Sample",
      "source": "live",
      "kernel_id": "4190286"
    },
    {
      "ref": "hidehisaarai1213/freesound-dameoshi-aug-fold5",
      "title": "Freesound dameoshi aug fold5",
      "source": "live",
      "kernel_id": "4188907"
    },
    {
      "ref": "egorsp/best-earthquake-features-and-simple-lgbm",
      "title": "Best earthquake features and simple LGBM",
      "source": "live",
      "kernel_id": "4187857"
    },
    {
      "ref": "hidehisaarai1213/freesound-dameoshi-aug-fold12",
      "title": "Freesound dameoshi aug fold12",
      "source": "live",
      "kernel_id": "4187793"
    },
    {
      "ref": "filipmulier/freesound-audio-tagging-prediction-only-kernel",
      "title": "Freesound Audio Tagging Prediction only Kernel",
      "source": "live",
      "kernel_id": "4186913"
    },
    {
      "ref": "chandramani/sample-inference-submissionkernel",
      "title": "Sample Inference SubmissionKernel",
      "source": "live",
      "kernel_id": "4185250"
    },
    {
      "ref": "shubham505/simple-2d-cnn-pytorch",
      "title": "Simple 2D CNN pytorch",
      "source": "live",
      "kernel_id": "4183048"
    },
    {
      "ref": "osciiart/resnet34-multi1024",
      "title": "ResNet34_Multi1024",
      "source": "live",
      "kernel_id": "4180560"
    },
    {
      "ref": "vinayaks/2d-cnn-pytorch",
      "title": "2D CNN pytorch",
      "source": "live",
      "kernel_id": "4174022"
    },
    {
      "ref": "amirnasir/kernel2",
      "title": "kernel2",
      "source": "live",
      "kernel_id": "4171524"
    },
    {
      "ref": "sabamotto/fat19-fastai-mixup-multipreprodataset",
      "title": "FAT19 fastai, MixUp, MultiPreproDataset",
      "source": "live",
      "kernel_id": "4135579"
    },
    {
      "ref": "kunstmord/look-ma-no-deep-learning",
      "title": "Look Ma, no Deep Learning!",
      "source": "live",
      "kernel_id": "4134335"
    },
    {
      "ref": "vandalko/1ch-mobilenet-pytorch-kfold-mixup-specaug",
      "title": "1ch Mobilenet PyTorch + KFold + MixUp + SpecAug",
      "source": "live",
      "kernel_id": "4113643"
    },
    {
      "ref": "toldo171/fat-2019-submit-curated-mixup-tta-kfold",
      "title": "FAT 2019 - Submit curated mixup TTA Kfold",
      "source": "live",
      "kernel_id": "4098499"
    },
    {
      "ref": "deepaksinghrawat/in-depth-introduction-to-audio-for-beginners",
      "title": "In-depth introduction to audio for beginners",
      "source": "live",
      "kernel_id": "4094884"
    },
    {
      "ref": "thegrigorian/freesound-code-with-r",
      "title": "FreeSound Code with R",
      "source": "live",
      "kernel_id": "4082732"
    },
    {
      "ref": "vinayaks/2d-cnn-high-score",
      "title": "2D CNN high score",
      "source": "live",
      "kernel_id": "4070280"
    },
    {
      "ref": "osciiart/resnet34multi-mixmatch",
      "title": "ResNet34Multi_MixMatch",
      "source": "live",
      "kernel_id": "4069608"
    },
    {
      "ref": "amirnasir/kernel1",
      "title": "kernel1",
      "source": "live",
      "kernel_id": "4057461"
    },
    {
      "ref": "pednoi/seeing-and-listening-to-the-sounds-eda",
      "title": "Seeing and Listening to the Sounds (EDA)",
      "source": "live",
      "kernel_id": "4054124"
    },
    {
      "ref": "vinayaks/2d-cnn-high-score-fast-ai",
      "title": "2D CNN high score fast.ai",
      "source": "live",
      "kernel_id": "4039513"
    },
    {
      "ref": "vandalko/creating-1ch-fat2019-preprocessed-data",
      "title": "Creating 1ch FAT2019 Preprocessed Data",
      "source": "live",
      "kernel_id": "4037004"
    },
    {
      "ref": "tanlikesmath/2d-cnn-high-score",
      "title": "2D CNN high score",
      "source": "live",
      "kernel_id": "4021701"
    },
    {
      "ref": "vandalko/cnn-pytorch-kfold-mixup-lb0-644",
      "title": "CNN PyTorch + KFold + mixup LB0.644",
      "source": "live",
      "kernel_id": "4010530"
    },
    {
      "ref": "hidehisaarai1213/convnet-noisy-all-pitch-pretraining",
      "title": "ConvNet noisy all + pitch Pretraining",
      "source": "live",
      "kernel_id": "4006487"
    },
    {
      "ref": "sailorwei/fat2019-2d-cnn-with-mixup-lb-0-673",
      "title": "FAT2019 2d-cnn with mixup, LB 0.673.",
      "source": "live",
      "kernel_id": "3990131"
    },
    {
      "ref": "rftexas/converting-sounds-into-images-a-general-guide",
      "title": "Converting sounds into images: a general guide",
      "source": "live",
      "kernel_id": "3974353"
    },
    {
      "ref": "maxwell110/naive-experiment-on-lb-shakeup",
      "title": "Naive experiment on LB shakeup",
      "source": "live",
      "kernel_id": "3958930"
    },
    {
      "ref": "jeremy851004/fat-ncku-null",
      "title": "FAT_NCKU_Null",
      "source": "live",
      "kernel_id": "3948443"
    },
    {
      "ref": "carlthome/l-lrap-metric-for-tf-keras",
      "title": " lωlrap metric for tf.keras",
      "source": "live",
      "kernel_id": "3942223"
    },
    {
      "ref": "mchen2412/sound-classification-with-1d-convolution",
      "title": "Sound classification with 1d convolution",
      "source": "live",
      "kernel_id": "3931939"
    },
    {
      "ref": "pkmahan/understanding-lwlrap",
      "title": "understanding LwLRAP",
      "source": "live",
      "kernel_id": "3930818"
    },
    {
      "ref": "carlthome/preprocess-freesound-data-to-train-with-peltarion",
      "title": "Preprocess Freesound data to train with Peltarion",
      "source": "live",
      "kernel_id": "3893847"
    },
    {
      "ref": "jramcast/random-predictions-baseline",
      "title": "Random predictions baseline",
      "source": "live",
      "kernel_id": "3890117"
    },
    {
      "ref": "osciiart/multilabel-stratifiedkfold-by-randomized-algorithm",
      "title": "Multilabel StratifiedKfold by Randomized Algorithm",
      "source": "live",
      "kernel_id": "3881709"
    },
    {
      "ref": "shubham505/fat19-keras-baseline-on-preprocesseddata-lb576",
      "title": "FAT19: Keras Baseline on PreProcessedData [LB576]",
      "source": "live",
      "kernel_id": "3881209"
    },
    {
      "ref": "baomengjiao/xgb-using-mfcc",
      "title": "XGB using MFCC",
      "source": "live",
      "kernel_id": "3879274"
    },
    {
      "ref": "datta8899/kernel9520e9e6f4",
      "title": "kernel9520e9e6f4",
      "source": "live",
      "kernel_id": "3865819"
    },
    {
      "ref": "piyush28/simple-cnn-freesound-audio-detection",
      "title": "Simple_CNN-Freesound_Audio_Detection",
      "source": "live",
      "kernel_id": "3862129"
    },
    {
      "ref": "pluceroo/new-approach-wavelet-packet-decomposition-in-ml",
      "title": "New approach: Wavelet Packet Decomposition in ML",
      "source": "live",
      "kernel_id": "3845617"
    },
    {
      "ref": "duvallwh/data-visualizations-electric-guitar-vs-farts",
      "title": "Data Visualizations - Electric Guitar vs. Farts",
      "source": "live",
      "kernel_id": "3792366"
    },
    {
      "ref": "keaganai/just-smile-and-wav-boys-smile-and-wav",
      "title": "just smile and .wav boys, smile and .wav",
      "source": "live",
      "kernel_id": "3782006"
    },
    {
      "ref": "ratthachat/fat19-mixup-keras-on-preprocesseddata-lb632",
      "title": "FAT19: MixUp Keras on PreProcessedData LB632",
      "source": "live",
      "kernel_id": "3778103"
    },
    {
      "ref": "hariswidjaja/freesound-audio-tagging-mfcc-cnn-solution",
      "title": "Freesound Audio Tagging - MFCC + CNN solution",
      "source": "live",
      "kernel_id": "3776983"
    },
    {
      "ref": "romul0212/freesound-predict-dataset",
      "title": "Freesound predict dataset",
      "source": "live",
      "kernel_id": "3773483"
    },
    {
      "ref": "christoffer/na-ve-label-based-baseline-curated-only",
      "title": "Naïve label-based baseline (curated only)",
      "source": "live",
      "kernel_id": "3770529"
    },
    {
      "ref": "christoffer/lwlwrap-utility-script-test",
      "title": "lwlwrap Utility Script Test",
      "source": "live",
      "kernel_id": "3769020"
    },
    {
      "ref": "christoffer/lwlwrap",
      "title": "lwlwrap",
      "source": "live",
      "kernel_id": "3768930"
    },
    {
      "ref": "osciiart/resnet34-mel-ver3-log-multi-hardaug",
      "title": "ResNet34_ Mel_ver3_log Multi_HardAug",
      "source": "live",
      "kernel_id": "3764711"
    },
    {
      "ref": "lonelygo/cnn-2d-basic-solution-powered-by-fast-ai",
      "title": "CNN 2D Basic Solution Powered by fast.ai",
      "source": "live",
      "kernel_id": "3760508"
    },
    {
      "ref": "anirudh257/understanding-audio-tag-eda",
      "title": "Understanding Audio-Tag EDA",
      "source": "live",
      "kernel_id": "3755000"
    },
    {
      "ref": "simongrest/nsfw-frost-my-cupcakes",
      "title": "[NSFW] Frost My Cupcakes",
      "source": "live",
      "kernel_id": "3722911"
    },
    {
      "ref": "vinayaks/simple-changes-significant-improvement-in-lb",
      "title": "Simple changes, Significant improvement in Lb",
      "source": "live",
      "kernel_id": "3718271"
    },
    {
      "ref": "rio114/keras-cnn-with-lwlrap-evaluation",
      "title": "keras CNN with lwlrap evaluation",
      "source": "live",
      "kernel_id": "3714482"
    },
    {
      "ref": "wrosinski/custom-augmentations-for-audio-data",
      "title": "Custom Augmentations for Audio Data",
      "source": "live",
      "kernel_id": "3708391"
    },
    {
      "ref": "daisukelab/creating-fat2019-preprocessed-data",
      "title": "Creating FAT2019 Preprocessed Data",
      "source": "live",
      "kernel_id": "3705169"
    },
    {
      "ref": "nathanh12/new-fastai-audio",
      "title": "New Fastai.audio",
      "source": "live",
      "kernel_id": "3701302"
    },
    {
      "ref": "steer70/kernel-convolution1d-naive",
      "title": "kernel-convolution1D-Naive",
      "source": "live",
      "kernel_id": "3699366"
    },
    {
      "ref": "sailorwei/01explorerdataanalysis",
      "title": "01ExplorerDataAnalysis",
      "source": "live",
      "kernel_id": "3696937"
    },
    {
      "ref": "peining/simple-cnn-classifier-with-pytorch",
      "title": "Simple CNN Classifier with PyTorch",
      "source": "live",
      "kernel_id": "3693760"
    },
    {
      "ref": "davids1992/specaugment-quick-implementation",
      "title": "SpecAugment quick implementation",
      "source": "live",
      "kernel_id": "3692829"
    },
    {
      "ref": "wrosinski/baseline-resnet-like-keras",
      "title": "Baseline ResNet-like Keras",
      "source": "live",
      "kernel_id": "3677461"
    },
    {
      "ref": "daisukelab/cnn-2d-basic-3-using-simple-model",
      "title": "CNN 2D Basic #3 using Simple Model",
      "source": "live",
      "kernel_id": "3676586"
    },
    {
      "ref": "titericz/giba-keras-2-folds-from-scratch-lb-0-501",
      "title": "Giba Keras 2-Folds from Scratch LB 0.501",
      "source": "live",
      "kernel_id": "3670962"
    },
    {
      "ref": "liamsch/simple-2d-cnn-classifier-with-pytorch",
      "title": "Simple 2d-CNN Classifier with PyTorch",
      "source": "live",
      "kernel_id": "3658757"
    },
    {
      "ref": "mhiro2/simple-2d-cnn-classifier-with-pytorch",
      "title": "Simple 2d-CNN Classifier with PyTorch",
      "source": "live",
      "kernel_id": "3654152"
    },
    {
      "ref": "deveaup/peace-and-harmony",
      "title": "Peace and harmony",
      "source": "live",
      "kernel_id": "3651426"
    },
    {
      "ref": "mrugankakarte/freesound-audio-tagging-kernal-1",
      "title": "FreeSound Audio Tagging kernal 1",
      "source": "live",
      "kernel_id": "3643992"
    },
    {
      "ref": "osciiart/understanding-lwlrap-sorry-it-s-in-japanese",
      "title": "understanding LwLRAP (sorry it's in Japanese)",
      "source": "live",
      "kernel_id": "3633585"
    },
    {
      "ref": "riteshsinha/audio-data-analysis-and-convolutional-models",
      "title": "Audio Data analysis and Convolutional Models",
      "source": "live",
      "kernel_id": "3630997"
    },
    {
      "ref": "titericz/lightgbm-lb-0-321",
      "title": "LightGBM - LB: 0.321",
      "source": "live",
      "kernel_id": "3615137"
    },
    {
      "ref": "titericz/lightgbm-simple-solution-lb-0-203",
      "title": "LightGBM - Simple Solution - LB: 0.203",
      "source": "live",
      "kernel_id": "3609209"
    },
    {
      "ref": "cttsai/freesound-audio-tagging-bigru-w-attension",
      "title": "Freesound Audio Tagging biGRU w/ Attension",
      "source": "live",
      "kernel_id": "3608798"
    },
    {
      "ref": "cttsai/freesound-audio-tagging-gru-w-attension-starter",
      "title": "Freesound Audio Tagging GRU w/ Attension Starter",
      "source": "live",
      "kernel_id": "3603347"
    },
    {
      "ref": "hung96ad/naive-ensemble-model",
      "title": "Naive ensemble model",
      "source": "live",
      "kernel_id": "3594454"
    },
    {
      "ref": "talmanr/cnn-with-pytorch-using-mel-features",
      "title": "CNN with Pytorch using Mel features",
      "source": "live",
      "kernel_id": "3593246"
    },
    {
      "ref": "toldo171/fat-2019-beginner-guide-with-starter-code",
      "title": "FAT 2019 - Beginner Guide with Starter Code",
      "source": "live",
      "kernel_id": "3592780"
    },
    {
      "ref": "ashishpatel26/feature-extraction-from-audio",
      "title": "Feature Extraction From Audio",
      "source": "live",
      "kernel_id": "3590992"
    },
    {
      "ref": "starxcf/sample-submission-all-random",
      "title": "Sample Submission All random",
      "source": "live",
      "kernel_id": "3580805"
    },
    {
      "ref": "wrosinski/quick-clean-parallel-data-processing",
      "title": "Quick & Clean Parallel Data Processing",
      "source": "live",
      "kernel_id": "3576940"
    },
    {
      "ref": "kbhartiya83/sound-recogniser-bidirectionallstm-attention",
      "title": "Sound Recogniser | BidirectionalLSTM Attention |",
      "source": "live",
      "kernel_id": "3574862"
    },
    {
      "ref": "daisukelab/cnn-2d-basic-2-preprocessed-dataset-noisy",
      "title": "CNN 2D Basic #2, Preprocessed Dataset, Noisy",
      "source": "live",
      "kernel_id": "3574401"
    },
    {
      "ref": "hugoamorim/how-to-read-the-wave-file-in-r",
      "title": "How to read the wave file in R",
      "source": "live",
      "kernel_id": "3557538"
    },
    {
      "ref": "carlolepelaars/bidirectional-lstm-for-audio-labeling-with-keras",
      "title": "Bidirectional LSTM for audio labeling with Keras",
      "source": "live",
      "kernel_id": "3534292"
    },
    {
      "ref": "daisukelab/verifying-cnn-models-with-cam-and-etc-fast-ai",
      "title": "Verifying CNN Models with CAM and etc, fast.ai",
      "source": "live",
      "kernel_id": "3530618"
    },
    {
      "ref": "sreekanth123/kernel2d7051e849",
      "title": "kernel2d7051e849",
      "source": "live",
      "kernel_id": "3527004"
    },
    {
      "ref": "sreekanth123/first-2-py",
      "title": "first_2.py",
      "source": "live",
      "kernel_id": "3526859"
    },
    {
      "ref": "htopper/improving-on-baseline-with-bidirectional-model",
      "title": "Improving on baseline with bidirectional model",
      "source": "live",
      "kernel_id": "3525043"
    },
    {
      "ref": "davids1992/i-ve-listened-to-the-entire-test-set-bonus",
      "title": "I've listened to the entire test set + bonus",
      "source": "live",
      "kernel_id": "3522745"
    },
    {
      "ref": "maxwell110/explore-multi-labeled-data",
      "title": "Explore multi labeled data",
      "source": "live",
      "kernel_id": "3517361"
    },
    {
      "ref": "chewzy/gru-w-attention-baseline-model-curated",
      "title": "GRU w Attention - Baseline Model (curated)",
      "source": "live",
      "kernel_id": "3507540"
    },
    {
      "ref": "daisukelab/cnn-2d-basic-solution-powered-by-fast-ai",
      "title": "CNN 2D Basic Solution Powered by fast.ai",
      "source": "live",
      "kernel_id": "3500121"
    },
    {
      "ref": "hung96ad/restnet",
      "title": "RestNet",
      "source": "live",
      "kernel_id": "3497759"
    },
    {
      "ref": "voglinio/keras-2d-model-5-fold-log-specgram-curated-only",
      "title": "Keras 2D model, 5-fold, log_specgram, curated only",
      "source": "live",
      "kernel_id": "3497074"
    },
    {
      "ref": "akashravichandran/audiotag-eda",
      "title": "AudioTag-EDA",
      "source": "live",
      "kernel_id": "3495234"
    },
    {
      "ref": "stanislavblinov/keras-cnn-starter-0-128",
      "title": "Keras CNN Starter [0.128]",
      "source": "live",
      "kernel_id": "3494728"
    },
    {
      "ref": "jazivxt/bumblebee-s-radio",
      "title": "Bumblebee's Radio",
      "source": "live",
      "kernel_id": "3491281"
    },
    {
      "ref": "shujian/keras-cnn-starter-curated-training-data-only",
      "title": "Keras CNN Starter [curated training data only]",
      "source": "live",
      "kernel_id": "3490639"
    },
    {
      "ref": "ashirahama/simple-keras-cnn-with-mfcc",
      "title": "Simple Keras CNN with MFCC",
      "source": "live",
      "kernel_id": "3490452"
    },
    {
      "ref": "dude431/beginner-s-visualization-and-removing-uniformative",
      "title": "Beginner's Visualization and Removing Uniformative",
      "source": "live",
      "kernel_id": "3490447"
    },
    {
      "ref": "maxwell110/beginner-s-guide-to-audio-data-2",
      "title": "Beginner's Guide to Audio Data 2",
      "source": "live",
      "kernel_id": "3490149"
    },
    {
      "ref": "davids1992/audio-representation-what-it-s-all-about",
      "title": "Audio representation - what it's all about",
      "source": "live",
      "kernel_id": "3489902"
    },
    {
      "ref": "tunguz/sample-submission",
      "title": "Sample Submission",
      "source": "live",
      "kernel_id": "3489535"
    },
    {
      "ref": "argonalyst/exploring-audio",
      "title": "Exploring Audio",
      "source": "live",
      "kernel_id": "3489059"
    },
    {
      "ref": "jmourad100/keras-eda-and-cnn-starter",
      "title": "Keras EDA and CNN Starter",
      "source": "live",
      "kernel_id": "3487546"
    },
    {
      "ref": "inversion/naive-benchmark",
      "title": "Naive Benchmark",
      "source": "live",
      "kernel_id": "3478442"
    },
    {
      "ref": "mryabinin/baseline-for-4",
      "title": "",
      "source": "meta",
      "kernel_id": "3683202"
    },
    {
      "ref": "shreyasajal/audio-albumentations-torchaudio-audiomentations",
      "title": "",
      "source": "meta",
      "kernel_id": "17112339"
    },
    {
      "ref": "goldlike693/plant",
      "title": "",
      "source": "meta",
      "kernel_id": "47401280"
    },
    {
      "ref": "evanoleary/alexandria-competition-freesound-audio-ta-319258",
      "title": "",
      "source": "meta",
      "kernel_id": "100794686"
    }
  ],
  "errors": []
}