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      "title": "RNN Earthquake Regression",
      "source": "live",
      "kernel_id": "4150281"
    },
    {
      "ref": "mks2192/lanl-shake-up-report",
      "title": " LANL shake-up Report",
      "source": "live",
      "kernel_id": "4149203"
    },
    {
      "ref": "amjad85/10th-place-feature-engineering",
      "title": "10th place feature engineering",
      "source": "live",
      "kernel_id": "4147849"
    },
    {
      "ref": "titericz/top-1-lb-2-252-private",
      "title": "Top 1 - LB 2.252 Private",
      "source": "live",
      "kernel_id": "4147658"
    },
    {
      "ref": "friedchips/simple-cnn-would-have-been-top-25",
      "title": "Simple CNN would have been top 25...",
      "source": "live",
      "kernel_id": "4145963"
    },
    {
      "ref": "ilu000/1-private-lb-kernel-lanl-lgbm",
      "title": "#1 private LB kernel LANL lgbm",
      "source": "live",
      "kernel_id": "4142388"
    },
    {
      "ref": "hark99/best-lanl",
      "title": "BEST LANL",
      "source": "live",
      "kernel_id": "4136827"
    },
    {
      "ref": "zechengzhang/quake-final-2",
      "title": "quake_final_2",
      "source": "live",
      "kernel_id": "4133997"
    },
    {
      "ref": "talhazaidi/wavenet-lstm",
      "title": "WaveNet + LSTM",
      "source": "live",
      "kernel_id": "4131422"
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    {
      "ref": "mg78838/combined",
      "title": "combined",
      "source": "live",
      "kernel_id": "4130396"
    },
    {
      "ref": "alexsemenov/130th-private-lb-ideas-35th-on-public-lb",
      "title": "130th private LB ideas (35th on public LB)",
      "source": "live",
      "kernel_id": "4129395"
    },
    {
      "ref": "slashie/lanl-final",
      "title": "LANL Final",
      "source": "live",
      "kernel_id": "4129148"
    },
    {
      "ref": "dobosp/tunning-bayes-search-catmodel",
      "title": " tunning bayes search CatModel",
      "source": "live",
      "kernel_id": "4123892"
    },
    {
      "ref": "robikscube/lanl-simulating-the-test-set",
      "title": "LANL Simulating the Test Set",
      "source": "live",
      "kernel_id": "4121480"
    },
    {
      "ref": "ahmedengu/lanl-master-s-features-tpot",
      "title": "LANL Master's Features TPOT",
      "source": "live",
      "kernel_id": "4117665"
    },
    {
      "ref": "pnussbaum/dwt-earthquake-w-lto-v0301",
      "title": "DWT Earthquake w LTO v0301",
      "source": "live",
      "kernel_id": "4112398"
    },
    {
      "ref": "scaomath/lanl-lgb-selective-data-augmentation",
      "title": "LANL LGB selective data augmentation",
      "source": "live",
      "kernel_id": "4103180"
    },
    {
      "ref": "felipefonte99/cnn-on-images",
      "title": "CNN on images",
      "source": "live",
      "kernel_id": "4101793"
    },
    {
      "ref": "maximim/wavelet-transf-capsunet",
      "title": "wavelet_transf_capsunet",
      "source": "live",
      "kernel_id": "4100339"
    },
    {
      "ref": "ahmedengu/lanl-master-s-features-h2o-automl",
      "title": "LANL Master's Features H2O AutoML",
      "source": "live",
      "kernel_id": "4099027"
    },
    {
      "ref": "tavoglc/a-light-weight-time-to-event-regression",
      "title": "A light weight time to event regression ",
      "source": "live",
      "kernel_id": "4093327"
    },
    {
      "ref": "pnussbaum/dwt-earthquake-w-lto-v01",
      "title": "DWT Earthquake w LTO v01",
      "source": "live",
      "kernel_id": "4092067"
    },
    {
      "ref": "returnofsputnik/understanding-the-mean-med-ttf-of-our-datasets",
      "title": "Understanding the mean&med TTF of our datasets",
      "source": "live",
      "kernel_id": "4091390"
    },
    {
      "ref": "robikscube/the-race-for-lanl",
      "title": "🏎️ The Race for LANL",
      "source": "live",
      "kernel_id": "4088731"
    },
    {
      "ref": "aakarkale/earthquake-prediction",
      "title": "Earthquake Prediction",
      "source": "live",
      "kernel_id": "4082512"
    },
    {
      "ref": "leonshangguan/new-earthquake-30fe-lgbm-nn-catboost-xgb",
      "title": "new-earthquake-30FE-lgbm+nn+catboost+xgb",
      "source": "live",
      "kernel_id": "4081604"
    },
    {
      "ref": "felipefonte99/plotting-295-features-vs-time-to-failure",
      "title": "Plotting 295 Features vs Time to Failure",
      "source": "live",
      "kernel_id": "4074880"
    },
    {
      "ref": "vipul97/lanl-earthquake-prediction-model",
      "title": "LANL Earthquake Prediction Model",
      "source": "live",
      "kernel_id": "4071046"
    },
    {
      "ref": "bigateship/code1",
      "title": "code1",
      "source": "live",
      "kernel_id": "4057048"
    },
    {
      "ref": "cancerian/finalproject",
      "title": "FinalProject",
      "source": "live",
      "kernel_id": "4056764"
    },
    {
      "ref": "pedrormarques/selected-features",
      "title": "selected features",
      "source": "live",
      "kernel_id": "4056319"
    },
    {
      "ref": "vinayaks/feature-selection-simplified",
      "title": "Feature Selection Simplified",
      "source": "live",
      "kernel_id": "4053188"
    },
    {
      "ref": "cuteliudong/rolling-rnn",
      "title": "rolling rnn",
      "source": "live",
      "kernel_id": "4052652"
    },
    {
      "ref": "ahmedengu/lanl-catboost-mae-vs-rmse",
      "title": "LANL CatBoost ( MAE vs RMSE )",
      "source": "live",
      "kernel_id": "4052330"
    },
    {
      "ref": "hark99/lanlep",
      "title": "LANLEP",
      "source": "live",
      "kernel_id": "4048539"
    },
    {
      "ref": "mg78838/xgb-mg-all",
      "title": "xgb_mg_all",
      "source": "live",
      "kernel_id": "4047402"
    },
    {
      "ref": "roydatascience/lanl-lightgbm-and-keras-nn",
      "title": "Lanl LightGBM and Keras NN",
      "source": "live",
      "kernel_id": "4047385"
    },
    {
      "ref": "tunguz/lanl-adversarial-validation-shakeup-is-coming",
      "title": "LANL Adversarial Validation - Shakeup is coming",
      "source": "live",
      "kernel_id": "4046284"
    },
    {
      "ref": "bigateship/code0",
      "title": "code0",
      "source": "live",
      "kernel_id": "4045051"
    },
    {
      "ref": "bentozord/analiza-i-eksploracja-danych",
      "title": "Analiza i Eksploracja Danych",
      "source": "live",
      "kernel_id": "4033144"
    },
    {
      "ref": "ikedak2/lanl-vettejeep-modeling-lgb",
      "title": "LANL_Vettejeep_Modeling_LGB",
      "source": "live",
      "kernel_id": "4029097"
    },
    {
      "ref": "vaibhavmathur96/fork-of-fork-of-masters-final-project-model-lb",
      "title": "Fork of Fork of Masters Final Project – Model; LB~",
      "source": "live",
      "kernel_id": "4028917"
    },
    {
      "ref": "vaibhavmathur96/how-to-score-high",
      "title": "How to score high",
      "source": "live",
      "kernel_id": "4028865"
    },
    {
      "ref": "vaibhavmathur96/fork-of-masters-final-project-model-lb-1-392",
      "title": "Fork of Masters Final Project – Model; LB~1.392",
      "source": "live",
      "kernel_id": "4028846"
    },
    {
      "ref": "vaibhavmathur96/best-lanl-earthquake-prediction-model-lb-1-392",
      "title": "Best -Lanl Earthquake Prediction – Model; LB~1.392",
      "source": "live",
      "kernel_id": "4028821"
    },
    {
      "ref": "isaranja/lanl-earthquake-conv1d-series",
      "title": "LANL Earthquake Conv1D (+)(-)series",
      "source": "live",
      "kernel_id": "4028460"
    },
    {
      "ref": "scaomath/lanl-earthquake-rnn-with-multiple-target-values",
      "title": "LANL earthquake RNN with multiple target values",
      "source": "live",
      "kernel_id": "4027662"
    },
    {
      "ref": "ikedak2/lanl-vettejeep-join",
      "title": "LANL_Vettejeep_Join",
      "source": "live",
      "kernel_id": "4027380"
    },
    {
      "ref": "jim5uz/lanl-abdumalik-s-kernel-simple-models",
      "title": "LANL Abdumalik's Kernel Simple Models",
      "source": "live",
      "kernel_id": "4026138"
    },
    {
      "ref": "felipefonte99/leave-one-out",
      "title": "Leave One Out",
      "source": "live",
      "kernel_id": "4024001"
    },
    {
      "ref": "ikedak2/lanl-vettejeep-split-2",
      "title": "LANL_Vettejeep_Split_2",
      "source": "live",
      "kernel_id": "4021207"
    },
    {
      "ref": "ikedak2/lanl-vettejeep-split-1",
      "title": "LANL_Vettejeep_Split_1",
      "source": "live",
      "kernel_id": "4020546"
    },
    {
      "ref": "mooson/eda-waveletpackage",
      "title": "EDA_WaveletPackage",
      "source": "live",
      "kernel_id": "4019256"
    },
    {
      "ref": "scaomath/lanl-earthquake-lgb-customized-loss-bootstrapping",
      "title": "LANL earthquake LGB customized loss+bootstrapping",
      "source": "live",
      "kernel_id": "4017500"
    },
    {
      "ref": "user164919/earthquakes-fe-more-features-and-samples",
      "title": "Earthquakes FE. More features and samples",
      "source": "live",
      "kernel_id": "4011529"
    },
    {
      "ref": "pedrormarques/signal-convolution-v6",
      "title": "signal convolution v6",
      "source": "live",
      "kernel_id": "4010019"
    },
    {
      "ref": "pedrormarques/lanl-generator-py",
      "title": "lanl_generator.py",
      "source": "live",
      "kernel_id": "4009462"
    },
    {
      "ref": "wangjinjie722/kernelcc8f09c01c",
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      "source": "live",
      "kernel_id": "4006205"
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    {
      "ref": "itamargr/recurrent",
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      "source": "live",
      "kernel_id": "4003241"
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    {
      "ref": "maicon1981/lanl-earthquake-prediction",
      "title": "LANL Earthquake Prediction",
      "source": "live",
      "kernel_id": "3994275"
    },
    {
      "ref": "shihyu/earthquake-competition-without-creating-data",
      "title": "Earthquake Competition without creating data",
      "source": "live",
      "kernel_id": "3991178"
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      "ref": "sakagkaggle/only-3-features",
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      "source": "live",
      "kernel_id": "3989851"
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    {
      "ref": "mg78838/all-features-mg",
      "title": "all_features_mg",
      "source": "live",
      "kernel_id": "3987999"
    },
    {
      "ref": "kanchannannavare/earthquake-prediction-lanl",
      "title": "Earthquake prediction LANL",
      "source": "live",
      "kernel_id": "3979256"
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    {
      "ref": "matsumotoshintaro/so-simple-blend-model-new-ver",
      "title": "So Simple Blend Model, new ver.（シンプルな混合モデルの構築）",
      "source": "live",
      "kernel_id": "3970507"
    },
    {
      "ref": "matsumotoshintaro/so-simple-nn",
      "title": "So Simple NN.（ニューラルネットワークによるシンプルなモデル構築）",
      "source": "live",
      "kernel_id": "3969902"
    },
    {
      "ref": "pestipeti/signal-and-frequency-data-animation",
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      "kernel_id": "3967710"
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    {
      "ref": "matsumotoshintaro/so-simple-blend-model",
      "title": "So Simple Blend Model.（シンプルな混合モデルの構築）",
      "source": "live",
      "kernel_id": "3965293"
    },
    {
      "ref": "scirpus/unoriginal-lstm",
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      "source": "live",
      "kernel_id": "3962420"
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    {
      "ref": "madadinga/model-tuning-catboost",
      "title": "model-tuning-CatBoost",
      "source": "live",
      "kernel_id": "3961202"
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    {
      "ref": "venkatakkinapalli/earthquake",
      "title": "EarthQuake",
      "source": "live",
      "kernel_id": "3960067"
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    {
      "ref": "manaan/svr-gridsearch",
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      "source": "live",
      "kernel_id": "3959640"
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    {
      "ref": "gianfrancobarone/lanl-nn-ensemble-starter2",
      "title": "LANL NN Ensemble starter2",
      "source": "live",
      "kernel_id": "3954942"
    },
    {
      "ref": "matsumotoshintaro/so-simple-xgboosting-xgboosting",
      "title": "So Simple XGboosting.（XGboostingによるシンプルなモデル構築）",
      "source": "live",
      "kernel_id": "3953137"
    },
    {
      "ref": "pedrormarques/fft-visualize",
      "title": "fft visualize",
      "source": "live",
      "kernel_id": "3952388"
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    {
      "ref": "miklgr500/failure-state-detection",
      "title": "Failure State Detection",
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      "kernel_id": "3950687"
    },
    {
      "ref": "kessido/fork-of-fork-of-lanl-earthquake-prediction-in-dl",
      "title": "Fork of Fork of Lanl earthquake prediction in dl",
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      "kernel_id": "3946533"
    },
    {
      "ref": "wojteck/deep-learninig-reg",
      "title": "Deep learninig - REG",
      "source": "live",
      "kernel_id": "3943572"
    },
    {
      "ref": "isaranja/lanl-earthquake-statistical-features-with-lstm",
      "title": "LANL Earthquake statistical features with LSTM",
      "source": "live",
      "kernel_id": "3937644"
    },
    {
      "ref": "senaas/earthquake-prediction-with-datalk",
      "title": " Earthquake Prediction with Datalk",
      "source": "live",
      "kernel_id": "3931499"
    },
    {
      "ref": "tianyiy/svd-denoise",
      "title": "SVD denoise",
      "source": "live",
      "kernel_id": "3930904"
    },
    {
      "ref": "shihyu/earthquake-prediction",
      "title": "Earthquake Prediction",
      "source": "live",
      "kernel_id": "3930796"
    },
    {
      "ref": "caglatoprak/guide-to-earthquake-prediction-by-pydep",
      "title": "Guide to Earthquake Prediction by PyDep",
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      "kernel_id": "3925895"
    },
    {
      "ref": "byilmaz/predict-the-unpredictable-with-kodlam-yoruz",
      "title": "Predict the Unpredictable with Kodlamıyoruz",
      "source": "live",
      "kernel_id": "3896300"
    },
    {
      "ref": "pedrormarques/signal-convolution-v4",
      "title": "signal convolution v4",
      "source": "live",
      "kernel_id": "3895156"
    },
    {
      "ref": "madadinga/feature-extraction",
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      "source": "live",
      "kernel_id": "3894712"
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    {
      "ref": "madadinga/model-tuning-adaboost",
      "title": "model-tuning-AdaBoost",
      "source": "live",
      "kernel_id": "3892166"
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    {
      "ref": "sj626591833/lanl-earthquake-eda-and-prediction",
      "title": "LANL Earthquake EDA and Prediction",
      "source": "live",
      "kernel_id": "3892017"
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    {
      "ref": "kessido/ido-kess",
      "title": "ido_kess",
      "source": "live",
      "kernel_id": "3890457"
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    {
      "ref": "madadinga/model-tuning-rf",
      "title": "model-tuning-RF",
      "source": "live",
      "kernel_id": "3885034"
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      "ref": "pedrormarques/signal-model-explain",
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      "source": "live",
      "kernel_id": "3882008"
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    {
      "ref": "rianwesley/earthquakes-fe-more-features-and-samples-8d9773",
      "title": "Earthquakes FE. More features and samples 8d9773",
      "source": "live",
      "kernel_id": "3877647"
    },
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      "ref": "cemreefe/killer-model-extra-trashplot",
      "title": "Killer Model Extra trashplot",
      "source": "live",
      "kernel_id": "3876315"
    },
    {
      "ref": "ragia11/kernele0c4596318",
      "title": "kernele0c4596318",
      "source": "live",
      "kernel_id": "3875820"
    },
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      "ref": "amignan/baseline-rf-model-reproducing-the-2017-paper",
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      "kernel_id": "3871945"
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      "ref": "amitkumarjaiswal/feature-modeling-stuff",
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      "kernel_id": "3868049"
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      "ref": "matsumotoshintaro/so-simple-lightgbm-lightgbm",
      "title": "So Simple LightGBM.（LightGBMによるシンプルなモデル構築）",
      "source": "live",
      "kernel_id": "3862943"
    },
    {
      "ref": "cemreefe/killer-model-extra",
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      "source": "live",
      "kernel_id": "3862413"
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    {
      "ref": "idog90/lanl-competition-why-do-spectrograms-fail",
      "title": "LANL Competition: why do spectrograms fail?",
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      "kernel_id": "3859199"
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    {
      "ref": "scirpus/gp-teeny-tiny",
      "title": "GP Teeny Tiny",
      "source": "live",
      "kernel_id": "3856283"
    },
    {
      "ref": "gideonvos/earthquake-prediction-with-xgboost-lb1-496",
      "title": "Earthquake prediction with XGBoost LB1.496",
      "source": "live",
      "kernel_id": "3852846"
    },
    {
      "ref": "zikazika/how-to-score-high",
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      "source": "live",
      "kernel_id": "3840707"
    },
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      "ref": "oguzkoroglu/andrews-features-and-random-forest",
      "title": "Andrews Features and Random Forest",
      "source": "live",
      "kernel_id": "3839672"
    },
    {
      "ref": "hark99/lanl-earthquake-prediction",
      "title": "LANL Earthquake Prediction",
      "source": "live",
      "kernel_id": "3837929"
    },
    {
      "ref": "superluminal098/gplearn-runtime-management-and-regression",
      "title": "Gplearn Runtime Management and Regression",
      "source": "live",
      "kernel_id": "3836787"
    },
    {
      "ref": "robikscube/lanl-earthquake-melspectrogram-images-fastai-nn",
      "title": "LANL Earthquake- Melspectrogram Images & FastAI NN",
      "source": "live",
      "kernel_id": "3827708"
    },
    {
      "ref": "code1110/event-triggered-analysis-in-eda",
      "title": "Event-triggered analysis in EDA",
      "source": "live",
      "kernel_id": "3827197"
    },
    {
      "ref": "wimwim/wavenet-lstm",
      "title": "WaveNet + LSTM",
      "source": "live",
      "kernel_id": "3827161"
    },
    {
      "ref": "bigironsphere/basic-data-augmentation-feature-reduction",
      "title": "Basic Data Augmentation & Feature Reduction",
      "source": "live",
      "kernel_id": "3825152"
    },
    {
      "ref": "itamart/jerusml-basic-features-benchmark",
      "title": "JerusML - Basic Features Benchmark",
      "source": "live",
      "kernel_id": "3824373"
    },
    {
      "ref": "wajnryt/andrews-new-script-plus-a-genetic-program-model",
      "title": "Andrews New Script plus a Genetic Program Model",
      "source": "live",
      "kernel_id": "3820454"
    },
    {
      "ref": "benmarmar/feature-creation",
      "title": "Feature Creation",
      "source": "live",
      "kernel_id": "3820440"
    },
    {
      "ref": "scirpus/earthquake-gp-filter",
      "title": "Earthquake GP Filter",
      "source": "live",
      "kernel_id": "3819160"
    },
    {
      "ref": "oguzkoroglu/andrews-features-and-gplearn",
      "title": "Andrews Features and GPLearn",
      "source": "live",
      "kernel_id": "3817610"
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      "ref": "dobosp/more-features",
      "title": "more features ",
      "source": "live",
      "kernel_id": "3814678"
    },
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      "ref": "dobosp/lgbm-tunning-bayes-search",
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      "source": "live",
      "kernel_id": "3813317"
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      "ref": "oguzkoroglu/lanl-catboost-feature-evaluation",
      "title": "LANL CatBoost Feature Evaluation",
      "source": "live",
      "kernel_id": "3811151"
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    {
      "ref": "wajnryt/basic-feature-benchmark",
      "title": "Basic Feature Benchmark",
      "source": "live",
      "kernel_id": "3810010"
    },
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      "ref": "tandonarpit6/lanl-earthquake-prediction-fast-ai",
      "title": "LANL Earthquake Prediction FAST AI",
      "source": "live",
      "kernel_id": "3313431"
    },
    {
      "ref": "juliusmannes/kernel792117c7bb",
      "title": "kernel792117c7bb",
      "source": "live",
      "kernel_id": "3309897"
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    {
      "ref": "vasinkd/picturesfromsignal",
      "title": "PicturesFromSignal",
      "source": "live",
      "kernel_id": "3298226"
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    {
      "ref": "sdoria/eq-v1",
      "title": "EQ v1",
      "source": "live",
      "kernel_id": "3291358"
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    {
      "ref": "theupgrade/creating-breaks-as-start-ends-of-bins",
      "title": "Creating Breaks as Start/Ends of bins",
      "source": "live",
      "kernel_id": "3283750"
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    {
      "ref": "nisargpatel/time-to-failure-model",
      "title": "time_to_failure model",
      "source": "live",
      "kernel_id": "3279284"
    },
    {
      "ref": "daftintrovert/lanl-earthquake-prediction",
      "title": " LANL Earthquake Prediction ",
      "source": "live",
      "kernel_id": "3267402"
    },
    {
      "ref": "yahoyoungho/young-slanl",
      "title": "young'sLANL",
      "source": "live",
      "kernel_id": "3260372"
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    {
      "ref": "bigironsphere/rock-music-frequency-eda-fe-via-lomb-scargle",
      "title": "Rock Music! Frequency EDA/FE via Lomb-Scargle ",
      "source": "live",
      "kernel_id": "3259108"
    },
    {
      "ref": "brianmo/apply-np-log-to-acoustic-data",
      "title": "Apply np.log to acoustic data",
      "source": "live",
      "kernel_id": "3249578"
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    {
      "ref": "ricarddelgado/lanl-sampling-schemes",
      "title": "LANL Sampling schemes",
      "source": "live",
      "kernel_id": "3245504"
    },
    {
      "ref": "lavanyadml/earthquakes-ls",
      "title": "Earthquakes LS",
      "source": "live",
      "kernel_id": "3245440"
    },
    {
      "ref": "lavanyadml/lanl-earthquake-prediction-ls",
      "title": "LANL Earthquake Prediction LS",
      "source": "live",
      "kernel_id": "3235801"
    },
    {
      "ref": "lavanyadml/lanl-earthquake-prediction",
      "title": "LANL Earthquake Prediction",
      "source": "live",
      "kernel_id": "3230381"
    },
    {
      "ref": "arkaung/earthquakes-over-feature-engineering-lightgbm",
      "title": "Earthquakes (Over Feature Engineering+LightGBM)",
      "source": "live",
      "kernel_id": "3214411"
    },
    {
      "ref": "pankajb64/lanl-ep-rnn",
      "title": "LANL EP RNN",
      "source": "live",
      "kernel_id": "3211176"
    },
    {
      "ref": "delai50/segment-comparison-vpub",
      "title": "Segment comparison vpub",
      "source": "live",
      "kernel_id": "3210962"
    },
    {
      "ref": "sdoria/pytorch-version-of-rnn-starter",
      "title": "Pytorch version of RNN starter",
      "source": "live",
      "kernel_id": "3190553"
    },
    {
      "ref": "suraj4singh/fft-continue",
      "title": "FFT continue",
      "source": "live",
      "kernel_id": "3184526"
    },
    {
      "ref": "ranjoranjan/simple-blend",
      "title": "Simple Blend",
      "source": "live",
      "kernel_id": "3181480"
    },
    {
      "ref": "jayaprakashnayak/shaking-earth",
      "title": "Shaking Earth",
      "source": "live",
      "kernel_id": "3172936"
    },
    {
      "ref": "aritrase/earthquake-ver2-top35features",
      "title": "EarthQuake_Ver2_Top35Features",
      "source": "live",
      "kernel_id": "3139215"
    },
    {
      "ref": "nmpiskin/earthquake-prediction-with-lstm",
      "title": "Earthquake prediction with lstm",
      "source": "live",
      "kernel_id": "3136249"
    },
    {
      "ref": "jsaguiar/feature-selection",
      "title": "Feature Selection",
      "source": "live",
      "kernel_id": "3134375"
    },
    {
      "ref": "darrellulm/earthquake-predictions-ensemble-neural-ne-bd9705",
      "title": "Earthquake Predictions - ENSEMBLE NEURAL NE bd9705",
      "source": "live",
      "kernel_id": "3122915"
    },
    {
      "ref": "darrellulm/earthquake-predictions-ensemble-neural-ne-1f04f4",
      "title": "Earthquake Predictions - ENSEMBLE NEURAL NE 1f04f4",
      "source": "live",
      "kernel_id": "3122908"
    },
    {
      "ref": "darrellulm/earthquake-predictions-ensemble-neural-networks",
      "title": "Earthquake Predictions - ENSEMBLE NEURAL NETWORKS",
      "source": "live",
      "kernel_id": "3122275"
    },
    {
      "ref": "carolmay/earthquake-draft",
      "title": "earthquake draft ",
      "source": "live",
      "kernel_id": "3105537"
    },
    {
      "ref": "harshel7/earthquake-predictions-ensemble-neural-networks",
      "title": "Earthquake Predictions - ENSEMBLE NEURAL NETWORKS",
      "source": "live",
      "kernel_id": "3104717"
    },
    {
      "ref": "harshel7/earthquake-prediction-ensemble-nn",
      "title": "Earthquake Prediction - Ensemble NN",
      "source": "live",
      "kernel_id": "3102382"
    },
    {
      "ref": "ahmedengu/lanl-earthquake-with-h2o-automl",
      "title": "LANL Earthquake with H2O AutoML",
      "source": "live",
      "kernel_id": "3101550"
    },
    {
      "ref": "ashay10001/stacking-of-svr-and-catboost",
      "title": "Stacking of SVR and Catboost",
      "source": "live",
      "kernel_id": "3096328"
    },
    {
      "ref": "devilears/siraj-s-steps-lstm",
      "title": "Siraj's Steps: LSTM",
      "source": "live",
      "kernel_id": "3079577"
    },
    {
      "ref": "friedchips/how-to-reduce-the-training-data-to-400mb",
      "title": "How to reduce the training data to 400MB...",
      "source": "live",
      "kernel_id": "3063426"
    },
    {
      "ref": "gpreda/lanl-earthquake-prediction",
      "title": "LANL Earthquake Prediction",
      "source": "live",
      "kernel_id": "3058326"
    },
    {
      "ref": "tunguz/lanl-earthquake-with-h2o-automl",
      "title": "LANL Earthquake with H2O AutoML",
      "source": "live",
      "kernel_id": "3058055"
    },
    {
      "ref": "adubitskiy/rnn-with-cnn-feature-extraction",
      "title": "RNN with CNN feature extraction",
      "source": "live",
      "kernel_id": "3049618"
    },
    {
      "ref": "subhamsharma96/earthquake-prediction-eda-featureengineering-svr",
      "title": "Earthquake Prediction|EDA|FeatureEngineering|SVR",
      "source": "live",
      "kernel_id": "3047571"
    },
    {
      "ref": "ashay10001/lanl-earthquake-prediction-in-svr",
      "title": "Lanl earthquake prediction in svr",
      "source": "live",
      "kernel_id": "3043584"
    },
    {
      "ref": "rahulvs94/earthquake-prediction",
      "title": "Earthquake prediction",
      "source": "live",
      "kernel_id": "3025187"
    },
    {
      "ref": "ahmedengu/lanl-earthquake-simple-svm",
      "title": "LANL Earthquake - Simple SVM",
      "source": "live",
      "kernel_id": "3025167"
    },
    {
      "ref": "tunguz/andrews-features-only",
      "title": "Andrews Features Only",
      "source": "live",
      "kernel_id": "3020627"
    },
    {
      "ref": "hasanyildiz84/lanl-earthquake-prediction-hy-kernel",
      "title": "LANL Earthquake Prediction HY Kernel",
      "source": "live",
      "kernel_id": "2999373"
    },
    {
      "ref": "elvenmonk/lanl-extract-training-acoustic-data",
      "title": "LANL Extract Training acoustic data",
      "source": "live",
      "kernel_id": "2975476"
    },
    {
      "ref": "simonta/predict-time-of-earthquake-with-only-one-feature",
      "title": "Predict time of earthquake with only one feature",
      "source": "live",
      "kernel_id": "2973650"
    },
    {
      "ref": "harshitholmes/extra-trial",
      "title": "extra trial",
      "source": "live",
      "kernel_id": "2970276"
    },
    {
      "ref": "behrad3d/a-template-for-vectorized-feature-extraction",
      "title": "A Template for Vectorized Feature Extraction",
      "source": "live",
      "kernel_id": "2962404"
    },
    {
      "ref": "michael422/spectrogram-convolution",
      "title": "Spectrogram + convolution =  ? ",
      "source": "live",
      "kernel_id": "2960353"
    },
    {
      "ref": "kalyankkr/predicting-movement",
      "title": "Predicting movement ",
      "source": "live",
      "kernel_id": "2950648"
    },
    {
      "ref": "michael422/tf-lstm-on-acoustic-signals",
      "title": "tf.LSTM on acoustic signals",
      "source": "live",
      "kernel_id": "2942451"
    },
    {
      "ref": "aperezhortal/eda-on-the-frequency-domain-fft",
      "title": "EDA on the frequency domain (FFT)",
      "source": "live",
      "kernel_id": "2941508"
    },
    {
      "ref": "davids1992/adversarial-validation",
      "title": "Adversarial validation",
      "source": "live",
      "kernel_id": "2912531"
    },
    {
      "ref": "rihadv/seismic-data-eda-and-baseline",
      "title": "Seismic data EDA and baseline",
      "source": "live",
      "kernel_id": "2893969"
    },
    {
      "ref": "rihadv/shaking-earth",
      "title": "Shaking Earth",
      "source": "live",
      "kernel_id": "2893032"
    },
    {
      "ref": "nitingoyal09/lanl-earthquake-prediction-categorical-boosting",
      "title": "LANL Earthquake Prediction - Categorical Boosting",
      "source": "live",
      "kernel_id": "2888669"
    },
    {
      "ref": "shobhit18th/earthquake-prediction",
      "title": "Earthquake_prediction :",
      "source": "live",
      "kernel_id": "2887707"
    },
    {
      "ref": "kalyankkr/sesmic-signal",
      "title": "Sesmic signal",
      "source": "live",
      "kernel_id": "2884523"
    },
    {
      "ref": "sparshdutta/can-you-predict-the-next-earthquake",
      "title": "Can You Predict The Next Earthquake?",
      "source": "live",
      "kernel_id": "2881788"
    },
    {
      "ref": "avloss/audio-analysis-with-animation",
      "title": "Audio Analysis with Animation",
      "source": "live",
      "kernel_id": "2852341"
    },
    {
      "ref": "tanderton/hdf5-conversion-for-fast-data-loading",
      "title": "HDF5 Conversion For Fast Data Loading",
      "source": "live",
      "kernel_id": "2844001"
    },
    {
      "ref": "nisargpatel/time-series-garch-ts-regression",
      "title": "[Time Series - Garch, TS Regression]",
      "source": "live",
      "kernel_id": "2843348"
    },
    {
      "ref": "anuragsahoo/earthquake-prediction-new",
      "title": "Earthquake_Prediction_new",
      "source": "live",
      "kernel_id": "2834562"
    },
    {
      "ref": "mmailloux22/i-m-quaking-in-my-boots",
      "title": "I'm Quaking in my Boots",
      "source": "live",
      "kernel_id": "2816981"
    },
    {
      "ref": "pankajb64/shake-it-up",
      "title": "Shake it up",
      "source": "live",
      "kernel_id": "2816697"
    },
    {
      "ref": "sriram7777/earthquake-detection-baseline-with-fft",
      "title": "Earthquake detection baseline with FFT",
      "source": "live",
      "kernel_id": "2803668"
    },
    {
      "ref": "mayer79/earthquake-forecast-with-random-forests",
      "title": "Earthquake forecast with random forests",
      "source": "live",
      "kernel_id": "2798857"
    },
    {
      "ref": "scirpus/is-downsampling-a-good-idea",
      "title": "Is downsampling a good idea?",
      "source": "live",
      "kernel_id": "2773865"
    },
    {
      "ref": "jiazhuang/lstm-with-pytorch-for-beginners",
      "title": "LSTM with PyTorch for Beginners",
      "source": "live",
      "kernel_id": "2770844"
    },
    {
      "ref": "elvenmonk/lanl-ttf-error",
      "title": "LANL TTF error",
      "source": "live",
      "kernel_id": "2769978"
    },
    {
      "ref": "jhasony/shaking-earth",
      "title": "Shaking Earth",
      "source": "live",
      "kernel_id": "2752685"
    },
    {
      "ref": "johnjarmitage/forest-regression-using-lightgbm",
      "title": "forest regression using lightgbm",
      "source": "live",
      "kernel_id": "2751278"
    },
    {
      "ref": "devilears/rnn-starter-kernel-with-notebook",
      "title": "RNN Starter Kernel with Notebook",
      "source": "live",
      "kernel_id": "2742783"
    },
    {
      "ref": "elvenmonk/lanl-feature-plots",
      "title": "LANL Feature plots",
      "source": "live",
      "kernel_id": "2742625"
    },
    {
      "ref": "tahirmuslimscientist/lanl-earthquake-understanding",
      "title": "LANL Earthquake Understanding",
      "source": "live",
      "kernel_id": "2740793"
    },
    {
      "ref": "scirpus/andrews-script-plus-a-genetic-program-model",
      "title": "Andrews Script plus a Genetic Program  Model",
      "source": "live",
      "kernel_id": "2727089"
    },
    {
      "ref": "byfone/neat-baseline-code-for-earthquake-prediction",
      "title": "Neat Baseline Code for Earthquake Prediction",
      "source": "live",
      "kernel_id": "2719237"
    },
    {
      "ref": "cartographic/quake-pipe-r",
      "title": "quake pipe R",
      "source": "live",
      "kernel_id": "2718144"
    },
    {
      "ref": "johnnyd113/baseline-with-explanations-how-to-get-started",
      "title": "Baseline with Explanations: How to Get Started",
      "source": "live",
      "kernel_id": "2715840"
    },
    {
      "ref": "elvenmonk/lanl-regression",
      "title": "LANL Regression",
      "source": "live",
      "kernel_id": "2715272"
    },
    {
      "ref": "elvenmonk/lanl-feature-engineering",
      "title": "LANL Feature engineering",
      "source": "live",
      "kernel_id": "2715124"
    },
    {
      "ref": "mgrapotte/finance-and-earthquakes",
      "title": "Finance and... earthquakes ?",
      "source": "live",
      "kernel_id": "2709074"
    },
    {
      "ref": "udaygurugubelli/tf-neuralnet",
      "title": "tf: NeuralNet",
      "source": "live",
      "kernel_id": "2707353"
    },
    {
      "ref": "flaport/linear-regression-on-180-features",
      "title": "Linear Regression on 180 features.",
      "source": "live",
      "kernel_id": "2706350"
    },
    {
      "ref": "davids1992/watching-frequencies-in-the-data",
      "title": "Watching frequencies in the data",
      "source": "live",
      "kernel_id": "2695118"
    },
    {
      "ref": "harshitholmes/testing-each-every-regressor-with-own-instances",
      "title": "Testing each/every Regressor with own instances",
      "source": "live",
      "kernel_id": "2691150"
    },
    {
      "ref": "vaibhav2201/earthquake-prediction-rnn-773103",
      "title": "Earthquake Prediction + RNN 773103",
      "source": "live",
      "kernel_id": "2689272"
    },
    {
      "ref": "tsilveira/time-frequency-analysis-with-stft",
      "title": "Time-Frequency analysis with STFT",
      "source": "live",
      "kernel_id": "2685401"
    },
    {
      "ref": "aquaintel/earthquake-time-prediction-at-lab-scale",
      "title": "Earthquake time prediction at lab scale",
      "source": "live",
      "kernel_id": "2679301"
    },
    {
      "ref": "karanjakhar/neural-network-earthquake-time-to-failure",
      "title": "Neural network Earthquake time_to_failure",
      "source": "live",
      "kernel_id": "2675973"
    },
    {
      "ref": "sereuk/modeling",
      "title": "modeling",
      "source": "live",
      "kernel_id": "2672247"
    },
    {
      "ref": "econdata/earthquakeprediction",
      "title": "EarthquakePrediction",
      "source": "live",
      "kernel_id": "2665769"
    },
    {
      "ref": "scirpus/welch-gp",
      "title": "Welch + GP",
      "source": "live",
      "kernel_id": "2665341"
    },
    {
      "ref": "ashishpatel26/lgb-xgb-kfold-genetic-programming",
      "title": "LGB+XGB+KFOLD+Genetic Programming",
      "source": "live",
      "kernel_id": "2657778"
    },
    {
      "ref": "tayyabali55/memory-issues-kernel-restarting-will-be-resolved",
      "title": "Memory Issues(Kernel Restarting) Will be Resolved",
      "source": "live",
      "kernel_id": "2657655"
    },
    {
      "ref": "jpiyush3008/basic-feature-benchmark-503e36",
      "title": "Basic Feature Benchmark 503e36",
      "source": "live",
      "kernel_id": "2651253"
    },
    {
      "ref": "saeedheydari/lanl-earthquake-eda-and-prediction",
      "title": "LANL Earthquake EDA and Prediction",
      "source": "live",
      "kernel_id": "2648605"
    },
    {
      "ref": "saeedheydari/eda-data",
      "title": "EDA_data",
      "source": "live",
      "kernel_id": "2648560"
    },
    {
      "ref": "eigrad/wip-some-audio-digging",
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      "source": "live",
      "kernel_id": "2645327"
    },
    {
      "ref": "fanconic/earthquake-cnn",
      "title": "Earthquake CNN",
      "source": "live",
      "kernel_id": "2642743"
    },
    {
      "ref": "nikolaym/problem-with-big-size-of-train-csv",
      "title": "Problem with big size of train.csv",
      "source": "live",
      "kernel_id": "2642322"
    },
    {
      "ref": "jsaguiar/baseline-with-multiple-models",
      "title": "Baseline with multiple models",
      "source": "live",
      "kernel_id": "2638614"
    },
    {
      "ref": "alinealmeida/basic-feature-benchmark-with-quantiles-augmenting",
      "title": "Basic Feature Benchmark with Quantiles, augmenting",
      "source": "live",
      "kernel_id": "2635281"
    },
    {
      "ref": "piumallick/earthquake-shivering-of-the-mother-earth",
      "title": "Earthquake : Shivering of the Mother Earth",
      "source": "live",
      "kernel_id": "2631062"
    },
    {
      "ref": "wimwim/rolling-quantiles",
      "title": "Rolling + Quantiles",
      "source": "live",
      "kernel_id": "2627879"
    },
    {
      "ref": "braindeadcoder/understanding-and-preparing-seismic-data",
      "title": "Understanding and Preparing Seismic Data",
      "source": "live",
      "kernel_id": "2627504"
    },
    {
      "ref": "wellingtonfsouza/lanl-earthquake-preliminary-data-analysis",
      "title": "LANL Earthquake - Preliminary Data Analysis",
      "source": "live",
      "kernel_id": "2626431"
    },
    {
      "ref": "srsteinkamp/quick-look-at-data-and-just-for-fun-analysis",
      "title": "Quick look at data and just for fun analysis.",
      "source": "live",
      "kernel_id": "2624886"
    },
    {
      "ref": "zikazika/useful-new-features-and-a-optimised-model",
      "title": "Useful (new) Features and a optimised model",
      "source": "live",
      "kernel_id": "2623873"
    },
    {
      "ref": "nikitagribov/seismic-signal-eda-analysis-function",
      "title": "Seismic signal EDA + Analysis Function",
      "source": "live",
      "kernel_id": "2623662"
    },
    {
      "ref": "nikitagribov/analysis-function-for-seismic-signal-data",
      "title": "Analysis function for seismic signal data",
      "source": "live",
      "kernel_id": "2623589"
    },
    {
      "ref": "zikazika/memory-problems",
      "title": "Memory problems",
      "source": "live",
      "kernel_id": "2622487"
    },
    {
      "ref": "artgor/earthquakes-fe-more-features-and-samples",
      "title": "Earthquakes FE. More features and samples",
      "source": "live",
      "kernel_id": "2621088"
    },
    {
      "ref": "ashishpatel26/updated-mix-model-with-mxtend-gp",
      "title": "Updated Mix Model with Mxtend + GP",
      "source": "live",
      "kernel_id": "2621086"
    },
    {
      "ref": "matthewarthur/earthquake-fastai-analytics-vidhya-base",
      "title": "earthquake-fastai-analytics-vidhya-base",
      "source": "live",
      "kernel_id": "2620253"
    },
    {
      "ref": "gpreda/lanl-earthquake-eda-and-prediction",
      "title": "LANL Earthquake EDA and Prediction",
      "source": "live",
      "kernel_id": "2619433"
    },
    {
      "ref": "matthewarthur/earthquake-preds",
      "title": "earthquake_preds",
      "source": "live",
      "kernel_id": "2619312"
    },
    {
      "ref": "mayer79/rnn-starter-for-huge-time-series",
      "title": "RNN starter for huge time series",
      "source": "live",
      "kernel_id": "2618984"
    },
    {
      "ref": "stevedelear/description-of-problem",
      "title": "Description of Problem",
      "source": "live",
      "kernel_id": "2618869"
    },
    {
      "ref": "elvenmonk/splitting-lanl-training-data-by-earthquakes",
      "title": "Splitting LANL training data by earthquakes",
      "source": "live",
      "kernel_id": "2617559"
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