{
  "source": "live Code list",
  "fetched_at": "2026-10-24T22:22:42Z",
  "count": 483,
  "complete": true,
  "items": [
    {
      "ref": "pypiahmad/lanl-earthquake-submission-baseline",
      "votes": 0
    },
    {
      "ref": "pypiahmad/lanl-earthquake-prediction-leakage-aware-ensemble",
      "votes": 0
    },
    {
      "ref": "yujiyyy/lanl-earthquake-signal-eda",
      "votes": 2
    },
    {
      "ref": "serdaronal/lanl-earthquake-prediction",
      "votes": 2
    },
    {
      "ref": "coderiderai/lanl-logic-based-lb-1-72",
      "votes": 2
    },
    {
      "ref": "kiriyabuta/notebookcdd38ac9c4",
      "votes": 0
    },
    {
      "ref": "yamatomurata/notebook4-62418698",
      "votes": 0
    },
    {
      "ref": "bketanraju/notebookae46da6302",
      "votes": 0
    },
    {
      "ref": "nocarbonintelligence/earthquake-prediction",
      "votes": 2
    },
    {
      "ref": "theromantic/lab2-shmelev",
      "votes": 1
    },
    {
      "ref": "bigsmallmediumpotato/seismic-event-countdown-prediction",
      "votes": 8
    },
    {
      "ref": "ankitvarshney02/lanl-earthquake-prediction-signal-denoising",
      "votes": 12
    },
    {
      "ref": "vinitkp/squeeze-excitationnetwork-cnn",
      "votes": 0
    },
    {
      "ref": "tychobrouwer/ml-weekk8",
      "votes": 13
    },
    {
      "ref": "teunmertens/bram-teun-week8-project-ml23",
      "votes": 0
    },
    {
      "ref": "eojinlim/ee2ml1-final-project",
      "votes": 4
    },
    {
      "ref": "olivierkd/week8-project-ml23",
      "votes": 7
    },
    {
      "ref": "sabitakalila/final-project-ee2ml1-sabita-gordon",
      "votes": 2
    },
    {
      "ref": "seppedijkstra/machine-learning-week-8",
      "votes": 7
    },
    {
      "ref": "feix2lin/ee2ml1-final-project",
      "votes": 3
    },
    {
      "ref": "congyuezhang/notebook261cc891c4",
      "votes": 1
    },
    {
      "ref": "omarallam22/baseline-with-multiple-models-41b472",
      "votes": 0
    },
    {
      "ref": "marcogorelli/semi-anti-join-in-polars",
      "votes": 3
    },
    {
      "ref": "sebastiangcn/teoinfo-project",
      "votes": 4
    },
    {
      "ref": "jordanbell2357/using-tsfresh-time-series-feature-engineering",
      "votes": 1
    },
    {
      "ref": "gpreda/lanl-earthquake-data-exploration-and-baseline",
      "votes": 14
    },
    {
      "ref": "sdledbetter/mines-kaggle-project",
      "votes": 1
    },
    {
      "ref": "jasonlee2432/mines-kaggle-project",
      "votes": 2
    },
    {
      "ref": "nouradeklerk/noura-hannah-earthquake",
      "votes": 5
    },
    {
      "ref": "coenbuitink/week8-project-ml23",
      "votes": 2
    },
    {
      "ref": "fynnvanderwal/davi-beltrao-fynn-vanderwal-week8-v2",
      "votes": 1
    },
    {
      "ref": "robbertbithray/ee2ml1-group44-2023",
      "votes": 0
    },
    {
      "ref": "danilpaul/daniel-paul-week8",
      "votes": 2
    },
    {
      "ref": "ayushksingh28/lanl-earthquake-prediction",
      "votes": 13
    },
    {
      "ref": "jackchenxj/earthquake-prediction",
      "votes": 2
    },
    {
      "ref": "alecdaalman/ee2ml1-lanl-alecdaalman",
      "votes": 0
    },
    {
      "ref": "ianvaningen/notebookbe0e47ad49",
      "votes": 1
    },
    {
      "ref": "tjgeschiere/earthquake-prediction",
      "votes": 3
    },
    {
      "ref": "dennislandman99/ee2ml1-earthquake-prediction",
      "votes": 11
    },
    {
      "ref": "joostjaspers/notebookb79aaef0bd",
      "votes": 3
    },
    {
      "ref": "joshuairmf/shaking-earth",
      "votes": 1
    },
    {
      "ref": "carmenxiuwenchen/carmjoe-earthquake-prediction",
      "votes": 9
    },
    {
      "ref": "jessteijn/ml23-week8",
      "votes": 14
    },
    {
      "ref": "rishikeshrajnair/future-earthquake-prediction-with-ttf-using-dnn-ql",
      "votes": 3
    },
    {
      "ref": "julyhappy/fork-of-earthquake2-2578",
      "votes": 0
    },
    {
      "ref": "hammadch/lanl-earthquake-using-lstm",
      "votes": 12
    },
    {
      "ref": "dkachhawa/gru-and-bilstm",
      "votes": 1
    },
    {
      "ref": "dkachhawa/lanl-cb-lb-masters-experiments",
      "votes": 1
    },
    {
      "ref": "dkachhawa/basic-feature-benchmark",
      "votes": 0
    },
    {
      "ref": "imbeen/plz-last",
      "votes": 2
    },
    {
      "ref": "moonseungjae/moon-seismic-data-eda-and-baseline",
      "votes": 1
    },
    {
      "ref": "moonseungjae/shaking-earth-moon",
      "votes": 0
    },
    {
      "ref": "moonseungjae/1-private-lb-kernel-lanl-lgbm-moon-basic-fft",
      "votes": 3
    },
    {
      "ref": "gitanjali1425/synthetic-earthquake-prediction",
      "votes": 0
    },
    {
      "ref": "matthieudagommer/earthquake-prediction-lstm",
      "votes": 3
    },
    {
      "ref": "matthieudagommer/earthquake-prediction-cnn1d",
      "votes": 1
    },
    {
      "ref": "riccardoforzan/catboost-basic-features",
      "votes": 5
    },
    {
      "ref": "ahemateja19bec1025/data-visualization-earthquake-review3-19bec1025",
      "votes": 3
    },
    {
      "ref": "michledoliget/projet-idl-nem",
      "votes": 2
    },
    {
      "ref": "ahemateja19bec1025/data-visualisation-earthquake-prediction-19bec1025",
      "votes": 3
    },
    {
      "ref": "conhphung/fork-of-notebook117b24fd0b",
      "votes": 1
    },
    {
      "ref": "ngodang/int3405e-20-lanl-th-c-nghi-m-c-n-b-ng-d-li-u",
      "votes": 0
    },
    {
      "ref": "ngodang/int3405e-20-lanl-th-c-nghi-m-v-k-t-qu",
      "votes": 1
    },
    {
      "ref": "conhphung/notebook117b24fd0b",
      "votes": 1
    },
    {
      "ref": "ngodang/int3405e-20-lanl-feature-engineering-v-l-u",
      "votes": 1
    },
    {
      "ref": "ngodang/int3405e-20-lanl-feature-importance",
      "votes": 1
    },
    {
      "ref": "ngodang/int3405e-20-m-t-eda",
      "votes": 1
    },
    {
      "ref": "nqvinh00/lanl-earthquake-prediction",
      "votes": 7
    },
    {
      "ref": "gizemkeskin/catboost-ile-deprem-tahmini",
      "votes": 1
    },
    {
      "ref": "hotuanlong/lanl-earthquake-prediction",
      "votes": 3
    },
    {
      "ref": "thangd/lanl-earthquake-prediction-baggingsvr",
      "votes": 2
    },
    {
      "ref": "afsanehm/lanl-earthquake-prediction",
      "votes": 26
    },
    {
      "ref": "firozk/rnn-earthquake-prediction",
      "votes": 9
    },
    {
      "ref": "abhishektyagi001/lanl-earthquake-data-analysis",
      "votes": 4
    },
    {
      "ref": "abhishektyagi001/lanl-earthquake-prediction",
      "votes": 6
    },
    {
      "ref": "anudevskumar/notebookc183335c9a",
      "votes": 0
    },
    {
      "ref": "chandrimad31/time-series-feature-engineering-lanl-eq-data",
      "votes": 81
    },
    {
      "ref": "deniskazakov/1-geomean-nn-and-6featlgbm",
      "votes": 3
    },
    {
      "ref": "gamzef/kernele23a4f96ae",
      "votes": 0
    },
    {
      "ref": "suraj4singh/gradient-boosting-with-statistical-features",
      "votes": 1
    },
    {
      "ref": "darwinwin/lanl-master-s-features-h2o-automl",
      "votes": 2
    },
    {
      "ref": "darwinwin/lanl-earthquake-with-h2o-automl",
      "votes": 2
    },
    {
      "ref": "slashie/lanl-udf",
      "votes": 0
    },
    {
      "ref": "slashie/lanl-review",
      "votes": 0
    },
    {
      "ref": "gmtw25/limpieza-lanl",
      "votes": 0
    },
    {
      "ref": "hanjoonchoe/wavenet-lstm-pytorch-ignite-ver",
      "votes": 12
    },
    {
      "ref": "hostil/lanl-2019-features-keras-lightgbm",
      "votes": 0
    },
    {
      "ref": "talhazaidi1313/lanl-earthquake-eda-and-prediction",
      "votes": 3
    },
    {
      "ref": "joelpires/earthquake-prediction",
      "votes": 5
    },
    {
      "ref": "fredmarlton/lanl-earthquake",
      "votes": 6
    },
    {
      "ref": "wakamezake/lanl-earthquake-prediction-lb-probing",
      "votes": 2
    },
    {
      "ref": "jagannathrk/lanl-earthquake-prediction-xgb",
      "votes": 1
    },
    {
      "ref": "lovedm/basic-feature-benchmark-20191124",
      "votes": 12
    },
    {
      "ref": "morenovanton/kernel36bdc80f3d",
      "votes": 1
    },
    {
      "ref": "hostil/lanl-2019-feature-generation-basicr-vs-data-table",
      "votes": 1
    },
    {
      "ref": "agastya124/seismic-data-eda",
      "votes": 11
    },
    {
      "ref": "captainkore/lanl-earthquake-prediction-freq-domain-analysis",
      "votes": 0
    },
    {
      "ref": "akseersafdar/earth-quake-pred-using-catboost-svm-nn-xgboost",
      "votes": 3
    },
    {
      "ref": "anuraglahon/earthquake",
      "votes": 2
    },
    {
      "ref": "eivolkova/basic-feature-benchmark",
      "votes": 6
    },
    {
      "ref": "eivolkova/basic-feature-benchmark-d61545",
      "votes": 6
    },
    {
      "ref": "vanquan/lanl-earthquake-catboostregressor",
      "votes": 1
    },
    {
      "ref": "stevensun/kernel5ad7213e2d",
      "votes": 1
    },
    {
      "ref": "o93333/lanl-earthquake",
      "votes": 3
    },
    {
      "ref": "talhazaidi/kernelbeb4c2946d",
      "votes": 2
    },
    {
      "ref": "silentka/earthquakes-fe-more-features-and-samples",
      "votes": 3
    },
    {
      "ref": "talhazaidi/cnn-lstm-with-less-features",
      "votes": 5
    },
    {
      "ref": "talhazaidi/featured-analysis-new-approachs",
      "votes": 2
    },
    {
      "ref": "talhazaidi/model-4-more-features",
      "votes": 3
    },
    {
      "ref": "dkaraflos/1-geomean-nn-and-6featlgbm-2-259-private-lb",
      "votes": 130
    },
    {
      "ref": "trentb/one-feature-no-ml-gold-medal-range",
      "votes": 14
    },
    {
      "ref": "tomohiro05/earthquake-occurs-0-32ttf-after-a-large-signal",
      "votes": 2
    },
    {
      "ref": "ahmedengu/lanl-master-s-features-autosklearn",
      "votes": 7
    },
    {
      "ref": "teeyee314/rnn-earthquake-regression",
      "votes": 6
    },
    {
      "ref": "mks2192/lanl-shake-up-report",
      "votes": 14
    },
    {
      "ref": "amjad85/10th-place-feature-engineering",
      "votes": 14
    },
    {
      "ref": "titericz/top-1-lb-2-252-private",
      "votes": 61
    },
    {
      "ref": "friedchips/simple-cnn-would-have-been-top-25",
      "votes": 30
    },
    {
      "ref": "ilu000/1-private-lb-kernel-lanl-lgbm",
      "votes": 242
    },
    {
      "ref": "hark99/best-lanl",
      "votes": 0
    },
    {
      "ref": "zechengzhang/quake-final-2",
      "votes": 5
    },
    {
      "ref": "talhazaidi/wavenet-lstm",
      "votes": 1
    },
    {
      "ref": "mg78838/combined",
      "votes": 0
    },
    {
      "ref": "alexsemenov/130th-private-lb-ideas-35th-on-public-lb",
      "votes": 30
    },
    {
      "ref": "slashie/lanl-final",
      "votes": 0
    },
    {
      "ref": "dobosp/tunning-bayes-search-catmodel",
      "votes": 2
    },
    {
      "ref": "robikscube/lanl-simulating-the-test-set",
      "votes": 11
    },
    {
      "ref": "ahmedengu/lanl-master-s-features-tpot",
      "votes": 10
    },
    {
      "ref": "pnussbaum/dwt-earthquake-w-lto-v0301",
      "votes": 3
    },
    {
      "ref": "scaomath/lanl-lgb-selective-data-augmentation",
      "votes": 4
    },
    {
      "ref": "felipefonte99/cnn-on-images",
      "votes": 6
    },
    {
      "ref": "maximim/wavelet-transf-capsunet",
      "votes": 8
    },
    {
      "ref": "ahmedengu/lanl-master-s-features-h2o-automl",
      "votes": 4
    },
    {
      "ref": "tavoglc/a-light-weight-time-to-event-regression",
      "votes": 3
    },
    {
      "ref": "pnussbaum/dwt-earthquake-w-lto-v01",
      "votes": 37
    },
    {
      "ref": "returnofsputnik/understanding-the-mean-med-ttf-of-our-datasets",
      "votes": 2
    },
    {
      "ref": "robikscube/the-race-for-lanl",
      "votes": 42
    },
    {
      "ref": "aakarkale/earthquake-prediction",
      "votes": 0
    },
    {
      "ref": "leonshangguan/new-earthquake-30fe-lgbm-nn-catboost-xgb",
      "votes": 8
    },
    {
      "ref": "felipefonte99/plotting-295-features-vs-time-to-failure",
      "votes": 22
    },
    {
      "ref": "vipul97/lanl-earthquake-prediction-model",
      "votes": 1
    },
    {
      "ref": "bigateship/code1",
      "votes": 0
    },
    {
      "ref": "cancerian/finalproject",
      "votes": 1
    },
    {
      "ref": "pedrormarques/selected-features",
      "votes": 0
    },
    {
      "ref": "vinayaks/feature-selection-simplified",
      "votes": 13
    },
    {
      "ref": "cuteliudong/rolling-rnn",
      "votes": 7
    },
    {
      "ref": "ahmedengu/lanl-catboost-mae-vs-rmse",
      "votes": 5
    },
    {
      "ref": "hark99/lanlep",
      "votes": 1
    },
    {
      "ref": "mg78838/xgb-mg-all",
      "votes": 0
    },
    {
      "ref": "roydatascience/lanl-lightgbm-and-keras-nn",
      "votes": 60
    },
    {
      "ref": "tunguz/lanl-adversarial-validation-shakeup-is-coming",
      "votes": 101
    },
    {
      "ref": "bigateship/code0",
      "votes": 0
    },
    {
      "ref": "bentozord/analiza-i-eksploracja-danych",
      "votes": 2
    },
    {
      "ref": "ikedak2/lanl-vettejeep-modeling-lgb",
      "votes": 0
    },
    {
      "ref": "vaibhavmathur96/fork-of-fork-of-masters-final-project-model-lb",
      "votes": 2
    },
    {
      "ref": "vaibhavmathur96/how-to-score-high",
      "votes": 6
    },
    {
      "ref": "vaibhavmathur96/fork-of-masters-final-project-model-lb-1-392",
      "votes": 5
    },
    {
      "ref": "vaibhavmathur96/best-lanl-earthquake-prediction-model-lb-1-392",
      "votes": 3
    },
    {
      "ref": "isaranja/lanl-earthquake-conv1d-series",
      "votes": 0
    },
    {
      "ref": "scaomath/lanl-earthquake-rnn-with-multiple-target-values",
      "votes": 4
    },
    {
      "ref": "ikedak2/lanl-vettejeep-join",
      "votes": 1
    },
    {
      "ref": "jim5uz/lanl-abdumalik-s-kernel-simple-models",
      "votes": 1
    },
    {
      "ref": "felipefonte99/leave-one-out",
      "votes": 10
    },
    {
      "ref": "ikedak2/lanl-vettejeep-split-2",
      "votes": 0
    },
    {
      "ref": "ikedak2/lanl-vettejeep-split-1",
      "votes": 1
    },
    {
      "ref": "mooson/eda-waveletpackage",
      "votes": 5
    },
    {
      "ref": "scaomath/lanl-earthquake-lgb-customized-loss-bootstrapping",
      "votes": 7
    },
    {
      "ref": "user164919/earthquakes-fe-more-features-and-samples",
      "votes": 0
    },
    {
      "ref": "pedrormarques/signal-convolution-v6",
      "votes": 2
    },
    {
      "ref": "pedrormarques/lanl-generator-py",
      "votes": 4
    },
    {
      "ref": "wangjinjie722/kernelcc8f09c01c",
      "votes": 3
    },
    {
      "ref": "itamargr/recurrent",
      "votes": 7
    },
    {
      "ref": "maicon1981/lanl-earthquake-prediction",
      "votes": 1
    },
    {
      "ref": "shihyu/earthquake-competition-without-creating-data",
      "votes": 1
    },
    {
      "ref": "sakagkaggle/only-3-features",
      "votes": 16
    },
    {
      "ref": "mg78838/all-features-mg",
      "votes": 3
    },
    {
      "ref": "kanchannannavare/earthquake-prediction-lanl",
      "votes": 1
    },
    {
      "ref": "matsumotoshintaro/so-simple-blend-model-new-ver",
      "votes": 17
    },
    {
      "ref": "matsumotoshintaro/so-simple-nn",
      "votes": 8
    },
    {
      "ref": "pestipeti/signal-and-frequency-data-animation",
      "votes": 28
    },
    {
      "ref": "matsumotoshintaro/so-simple-blend-model",
      "votes": 8
    },
    {
      "ref": "scirpus/unoriginal-lstm",
      "votes": 61
    },
    {
      "ref": "madadinga/model-tuning-catboost",
      "votes": 1
    },
    {
      "ref": "venkatakkinapalli/earthquake",
      "votes": 1
    },
    {
      "ref": "manaan/svr-gridsearch",
      "votes": 0
    },
    {
      "ref": "gianfrancobarone/lanl-nn-ensemble-starter2",
      "votes": 7
    },
    {
      "ref": "matsumotoshintaro/so-simple-xgboosting-xgboosting",
      "votes": 1
    },
    {
      "ref": "pedrormarques/fft-visualize",
      "votes": 1
    },
    {
      "ref": "miklgr500/failure-state-detection",
      "votes": 9
    },
    {
      "ref": "kessido/fork-of-fork-of-lanl-earthquake-prediction-in-dl",
      "votes": 1
    },
    {
      "ref": "wojteck/deep-learninig-reg",
      "votes": 14
    },
    {
      "ref": "isaranja/lanl-earthquake-statistical-features-with-lstm",
      "votes": 1
    },
    {
      "ref": "senaas/earthquake-prediction-with-datalk",
      "votes": 3
    },
    {
      "ref": "tianyiy/svd-denoise",
      "votes": 5
    },
    {
      "ref": "shihyu/earthquake-prediction",
      "votes": 13
    },
    {
      "ref": "caglatoprak/guide-to-earthquake-prediction-by-pydep",
      "votes": 8
    },
    {
      "ref": "byilmaz/predict-the-unpredictable-with-kodlam-yoruz",
      "votes": 4
    },
    {
      "ref": "pedrormarques/signal-convolution-v4",
      "votes": 11
    },
    {
      "ref": "madadinga/feature-extraction",
      "votes": 0
    },
    {
      "ref": "madadinga/model-tuning-adaboost",
      "votes": 1
    },
    {
      "ref": "sj626591833/lanl-earthquake-eda-and-prediction",
      "votes": 2
    },
    {
      "ref": "kessido/ido-kess",
      "votes": 0
    },
    {
      "ref": "madadinga/model-tuning-rf",
      "votes": 2
    },
    {
      "ref": "pedrormarques/signal-model-explain",
      "votes": 1
    },
    {
      "ref": "rianwesley/earthquakes-fe-more-features-and-samples-8d9773",
      "votes": 5
    },
    {
      "ref": "cemreefe/killer-model-extra-trashplot",
      "votes": 2
    },
    {
      "ref": "ragia11/kernele0c4596318",
      "votes": 0
    },
    {
      "ref": "amignan/baseline-rf-model-reproducing-the-2017-paper",
      "votes": 29
    },
    {
      "ref": "amitkumarjaiswal/feature-modeling-stuff",
      "votes": 8
    },
    {
      "ref": "matsumotoshintaro/so-simple-lightgbm-lightgbm",
      "votes": 32
    },
    {
      "ref": "cemreefe/killer-model-extra",
      "votes": 2
    },
    {
      "ref": "idog90/lanl-competition-why-do-spectrograms-fail",
      "votes": 10
    },
    {
      "ref": "scirpus/gp-teeny-tiny",
      "votes": 16
    },
    {
      "ref": "gideonvos/earthquake-prediction-with-xgboost-lb1-496",
      "votes": 17
    },
    {
      "ref": "zikazika/how-to-score-high",
      "votes": 142
    },
    {
      "ref": "oguzkoroglu/andrews-features-and-random-forest",
      "votes": 2
    },
    {
      "ref": "hark99/lanl-earthquake-prediction",
      "votes": 0
    },
    {
      "ref": "superluminal098/gplearn-runtime-management-and-regression",
      "votes": 24
    },
    {
      "ref": "robikscube/lanl-earthquake-melspectrogram-images-fastai-nn",
      "votes": 35
    },
    {
      "ref": "code1110/event-triggered-analysis-in-eda",
      "votes": 4
    },
    {
      "ref": "wimwim/wavenet-lstm",
      "votes": 122
    },
    {
      "ref": "bigironsphere/basic-data-augmentation-feature-reduction",
      "votes": 184
    },
    {
      "ref": "itamart/jerusml-basic-features-benchmark",
      "votes": 79
    },
    {
      "ref": "wajnryt/andrews-new-script-plus-a-genetic-program-model",
      "votes": 0
    },
    {
      "ref": "benmarmar/feature-creation",
      "votes": 0
    },
    {
      "ref": "scirpus/earthquake-gp-filter",
      "votes": 2
    },
    {
      "ref": "oguzkoroglu/andrews-features-and-gplearn",
      "votes": 9
    },
    {
      "ref": "dobosp/more-features",
      "votes": 2
    },
    {
      "ref": "dobosp/lgbm-tunning-bayes-search",
      "votes": 2
    },
    {
      "ref": "oguzkoroglu/lanl-catboost-feature-evaluation",
      "votes": 2
    },
    {
      "ref": "wajnryt/basic-feature-benchmark",
      "votes": 0
    },
    {
      "ref": "oguzkoroglu/andrews-new-script-genetic-program-and-gplearn",
      "votes": 12
    },
    {
      "ref": "gus666/script-try",
      "votes": 1
    },
    {
      "ref": "vettejeep/attempt-at-genetic-programming-with-gplearn",
      "votes": 28
    },
    {
      "ref": "corochann/masters-final-project-eda",
      "votes": 19
    },
    {
      "ref": "vettejeep/masters-final-project-model-lb-1-392",
      "votes": 407
    },
    {
      "ref": "vettejeep/masters-final-project-eda",
      "votes": 150
    },
    {
      "ref": "bunchofcoders/lanl-earth-quake-predicion",
      "votes": 4
    },
    {
      "ref": "oguzkoroglu/random-forest-feature-selection",
      "votes": 2
    },
    {
      "ref": "scirpus/mfcc-with-gp",
      "votes": 25
    },
    {
      "ref": "elvenmonk/lanl-gp-regression",
      "votes": 2
    },
    {
      "ref": "ashking13th/kernel62457219c0",
      "votes": 1
    },
    {
      "ref": "yjc381818896/fork-of-earthquake-1-54",
      "votes": 0
    },
    {
      "ref": "ficklemaverick/feature-generation-using-time-series-stats",
      "votes": 2
    },
    {
      "ref": "superluminal098/tsfresh-features-and-regression-blend",
      "votes": 55
    },
    {
      "ref": "oguzkoroglu/lanl-earthquake-prediction-catboost-optimizations",
      "votes": 1
    },
    {
      "ref": "scirpus/gp-probability-then-project-on-target",
      "votes": 2
    },
    {
      "ref": "scirpus/earthquake-wood-for-the-trees",
      "votes": 8
    },
    {
      "ref": "rafzy15/15-features-lgb-lb-1-483",
      "votes": 32
    },
    {
      "ref": "mrgodsay/fe-and-regression",
      "votes": 1
    },
    {
      "ref": "ashish11701521/lanl-earthquake-prediction-by-ashish-singh",
      "votes": 3
    },
    {
      "ref": "leighplt/laboratory-ac-data-exp-p4581",
      "votes": 31
    },
    {
      "ref": "shyam0905/kernel5796536570",
      "votes": 0
    },
    {
      "ref": "anuragshas/lanl-earthquake-prediction",
      "votes": 3
    },
    {
      "ref": "scirpus/andrews-new-script-plus-a-genetic-program-model",
      "votes": 186
    },
    {
      "ref": "tarunpaparaju/lanl-earthquake-prediction-new-features",
      "votes": 40
    },
    {
      "ref": "cjinny/lgb-feature-engineering-and-kfold",
      "votes": 3
    },
    {
      "ref": "eedave86/tuned-dense-dnn",
      "votes": 1
    },
    {
      "ref": "jkprudhomme/earthquake-testing",
      "votes": 11
    },
    {
      "ref": "foramjavia/lanl-earthquake-prediction-all-models",
      "votes": 1
    },
    {
      "ref": "yhyukihama/first-kaggle-challenge-lanl-earthquake-prediction",
      "votes": 2
    },
    {
      "ref": "tarunpaparaju/lanl-earthquake-prediction-signal-denoising",
      "votes": 233
    },
    {
      "ref": "artgor/even-more-features",
      "votes": 278
    },
    {
      "ref": "scaomath/lanl-earthquake-lightgbm-using-power-spectra",
      "votes": 10
    },
    {
      "ref": "cjinny/cudnngru-with-stratifiedkfold",
      "votes": 7
    },
    {
      "ref": "elvenmonk/lanl-ttf-error-validation",
      "votes": 0
    },
    {
      "ref": "arpitr07/lanl-earthquake-prediction-xgbregressor",
      "votes": 2
    },
    {
      "ref": "gus666/basic-feature-benchmark",
      "votes": 0
    },
    {
      "ref": "artgor/feature-selection-model-interpretation-and-more",
      "votes": 435
    },
    {
      "ref": "sandy1112/gabriel-s-kernel-with-updated-params-lb-1-50",
      "votes": 11
    },
    {
      "ref": "gpreda/lanl-earthquake-new-approach-eda",
      "votes": 147
    },
    {
      "ref": "pnussbaum/earthquake-pred-cnn-medical-analogy-v07",
      "votes": 16
    },
    {
      "ref": "lorevala/1d-cnn-testing1",
      "votes": 0
    },
    {
      "ref": "gdoteof/fastai-tabular-nn",
      "votes": 2
    },
    {
      "ref": "bigironsphere/parameter-tuning-in-one-function-with-hyperopt",
      "votes": 202
    },
    {
      "ref": "jsaguiar/predicting-earthquake-number",
      "votes": 26
    },
    {
      "ref": "amitkumarjaiswal/lanl-earthquake-with-fastai",
      "votes": 5
    },
    {
      "ref": "rsaund/lanl-shap",
      "votes": 11
    },
    {
      "ref": "azc2019/earthquake-forecast-with-random-forests",
      "votes": 10
    },
    {
      "ref": "azc2019/for-testing-only",
      "votes": 0
    },
    {
      "ref": "fernandoramacciotti/weibull-time-to-failure",
      "votes": 35
    },
    {
      "ref": "azc2019/kerneld7b72dcfcb",
      "votes": 0
    },
    {
      "ref": "scirpus/canadian-clustering",
      "votes": 14
    },
    {
      "ref": "lorevala/1d-cnn-training1",
      "votes": 1
    },
    {
      "ref": "abhishek/quite-a-few-features-1-51",
      "votes": 173
    },
    {
      "ref": "wangwangsuibinbin/lanl-tcn-trial2",
      "votes": 7
    },
    {
      "ref": "azc2019/seismic-data-eda-and-baseline",
      "votes": 2
    },
    {
      "ref": "fernandoramacciotti/wavelet-features-xgb-bayesianopt",
      "votes": 9
    },
    {
      "ref": "subham121singh/earthquake-shaking-earth",
      "votes": 2
    },
    {
      "ref": "sudsyrutledge/quantile-knn-feature-model",
      "votes": 4
    },
    {
      "ref": "tarunpaparaju/lanl-earthquake-prediction-fresh-eda",
      "votes": 95
    },
    {
      "ref": "talhazaidi/lanl-earthquake-eda-and-prediction",
      "votes": 0
    },
    {
      "ref": "zikazika/what-if-we-denoise-the-data",
      "votes": 23
    },
    {
      "ref": "thomaskhu/import-and-eda",
      "votes": 2
    },
    {
      "ref": "attackgnome/basic-feature-benchmark-rfecv-xgboost",
      "votes": 13
    },
    {
      "ref": "hsinwenchang/mfcc-randomforestregressor-catboostregressor",
      "votes": 33
    },
    {
      "ref": "maneshreyashs/lgbm-xgb",
      "votes": 9
    },
    {
      "ref": "azoghbi/explore-lanl-earthquake-data",
      "votes": 4
    },
    {
      "ref": "peterkirschner/train-and-val-set-generator",
      "votes": 0
    },
    {
      "ref": "purehyd/1dxeption-v2-non-cv-lr-0-0001-drop-0-05-l2-0-1",
      "votes": 0
    },
    {
      "ref": "manish1998/neural-networks-using-keras",
      "votes": 8
    },
    {
      "ref": "pedrormarques/fft-512-frequencies",
      "votes": 7
    },
    {
      "ref": "scaomath/lanl-earthquake-eda-spectral-analysis-using-fft",
      "votes": 2
    },
    {
      "ref": "pedrormarques/fft-exp-cv",
      "votes": 1
    },
    {
      "ref": "sorokin/discrete-time-to-failure",
      "votes": 5
    },
    {
      "ref": "pedrormarques/fft-experiment",
      "votes": 8
    },
    {
      "ref": "bigironsphere/a-new-approach-ttf-classifiers-for-fine-tuning",
      "votes": 17
    },
    {
      "ref": "maneshreyashs/kernelcbb1e58da9",
      "votes": 3
    },
    {
      "ref": "analyst8/benchmark-program-explained-for-newbies",
      "votes": 10
    },
    {
      "ref": "gianfrancobarone/lanl-nn-starter",
      "votes": 39
    },
    {
      "ref": "candyke/eda-of-lanl-earthquake-prediction",
      "votes": 8
    },
    {
      "ref": "miklgr500/fast-failure-detector",
      "votes": 40
    },
    {
      "ref": "returnofsputnik/lanl-tcn-starter-v5",
      "votes": 5
    },
    {
      "ref": "daisukelab/lanl-solution-by-mel-spectrogram-dataset-2",
      "votes": 1
    },
    {
      "ref": "silence2/train-data-processing",
      "votes": 0
    },
    {
      "ref": "isaranja/lanl-earthquake-simple-conv1d",
      "votes": 12
    },
    {
      "ref": "latimerb/lanl-getting-started-mlp-rf-ensembles",
      "votes": 20
    },
    {
      "ref": "edj17123/kernelaac857aa2d",
      "votes": 0
    },
    {
      "ref": "pedrormarques/lanl-simple-v2",
      "votes": 3
    },
    {
      "ref": "madadinga/data-analysis",
      "votes": 0
    },
    {
      "ref": "purehyd/lanl-mobilenet-trial2",
      "votes": 3
    },
    {
      "ref": "buchan/transformer-network-with-1d-cnn-feature-extraction",
      "votes": 155
    },
    {
      "ref": "hsinwenchang/more-dense-layer",
      "votes": 3
    },
    {
      "ref": "zhanglic/earthquakes-fe-split-the-data-fft",
      "votes": 9
    },
    {
      "ref": "taqanori/trying-mfcc-mel-frequency-cepstral-coefficients",
      "votes": 98
    },
    {
      "ref": "mrganger/lanl-finding-l-estimators-via-pca",
      "votes": 30
    },
    {
      "ref": "manyregression/create-features-and-save-to-feather",
      "votes": 1
    },
    {
      "ref": "isaacshannon/isaac-fast-ai-evo",
      "votes": 16
    },
    {
      "ref": "daisukelab/balancing-dataset-while-earthquake-is-happening",
      "votes": 27
    },
    {
      "ref": "gus666/earth-quake-predict",
      "votes": 1
    },
    {
      "ref": "mgiraygokirmak/simple-baseline-with-xgboost",
      "votes": 7
    },
    {
      "ref": "dineshm2/lanl-earthquake-prediction",
      "votes": 1
    },
    {
      "ref": "wimwim/stacked-raw-lstm",
      "votes": 6
    },
    {
      "ref": "wjholst/lanl-earthquake-eda-and-ensemble-prediction",
      "votes": 20
    },
    {
      "ref": "edumotya/ssa-dimensionality-reduction-lanl-toy-example",
      "votes": 13
    },
    {
      "ref": "rahool214/signal-threshold-test",
      "votes": 2
    },
    {
      "ref": "asydorchuk/visualising-quakes-with-log-filter-banks",
      "votes": 6
    },
    {
      "ref": "ochiwankenobi/conv1d-spectrogram",
      "votes": 29
    },
    {
      "ref": "cevangelist/lab-seismic-waves-feature-exploration",
      "votes": 5
    },
    {
      "ref": "dumbo666/fork-of-earthquake-prediction-2",
      "votes": 1
    },
    {
      "ref": "aperezhortal/cv-splitting-by-earthquake-id",
      "votes": 26
    },
    {
      "ref": "cemreefe/model-kernel-dlai-trigger-word",
      "votes": 9
    },
    {
      "ref": "rishabh456/earthquake-predict-cloudera",
      "votes": 0
    },
    {
      "ref": "manyregression/fastai-tabular-nn",
      "votes": 19
    },
    {
      "ref": "eylulyalcinkaya/exploratory-data-analysis",
      "votes": 10
    },
    {
      "ref": "prafulbhoyar/batch-processing-and-windowing-through-the-data",
      "votes": 0
    },
    {
      "ref": "sklasfeld/basic-feature-benchmark",
      "votes": 2
    },
    {
      "ref": "cemreefe/ep-eda-kernel-d-zg-n",
      "votes": 3
    },
    {
      "ref": "tandonarpit6/lanl-earthquake-prediction-fast-ai",
      "votes": 7
    },
    {
      "ref": "juliusmannes/kernel792117c7bb",
      "votes": 1
    },
    {
      "ref": "vasinkd/picturesfromsignal",
      "votes": 35
    },
    {
      "ref": "sdoria/eq-v1",
      "votes": 2
    },
    {
      "ref": "theupgrade/creating-breaks-as-start-ends-of-bins",
      "votes": 7
    },
    {
      "ref": "nisargpatel/time-to-failure-model",
      "votes": 0
    },
    {
      "ref": "daftintrovert/lanl-earthquake-prediction",
      "votes": 0
    },
    {
      "ref": "yahoyoungho/young-slanl",
      "votes": 1
    },
    {
      "ref": "bigironsphere/rock-music-frequency-eda-fe-via-lomb-scargle",
      "votes": 32
    },
    {
      "ref": "brianmo/apply-np-log-to-acoustic-data",
      "votes": 13
    },
    {
      "ref": "ricarddelgado/lanl-sampling-schemes",
      "votes": 31
    },
    {
      "ref": "lavanyadml/earthquakes-ls",
      "votes": 1
    },
    {
      "ref": "lavanyadml/lanl-earthquake-prediction-ls",
      "votes": 4
    },
    {
      "ref": "lavanyadml/lanl-earthquake-prediction",
      "votes": 7
    },
    {
      "ref": "arkaung/earthquakes-over-feature-engineering-lightgbm",
      "votes": 19
    },
    {
      "ref": "pankajb64/lanl-ep-rnn",
      "votes": 0
    },
    {
      "ref": "delai50/segment-comparison-vpub",
      "votes": 2
    },
    {
      "ref": "sdoria/pytorch-version-of-rnn-starter",
      "votes": 13
    },
    {
      "ref": "suraj4singh/fft-continue",
      "votes": 2
    },
    {
      "ref": "ranjoranjan/simple-blend",
      "votes": 87
    },
    {
      "ref": "jayaprakashnayak/shaking-earth",
      "votes": 1
    },
    {
      "ref": "aritrase/earthquake-ver2-top35features",
      "votes": 1
    },
    {
      "ref": "nmpiskin/earthquake-prediction-with-lstm",
      "votes": 4
    },
    {
      "ref": "jsaguiar/feature-selection",
      "votes": 11
    },
    {
      "ref": "darrellulm/earthquake-predictions-ensemble-neural-ne-bd9705",
      "votes": 4
    },
    {
      "ref": "darrellulm/earthquake-predictions-ensemble-neural-ne-1f04f4",
      "votes": 0
    },
    {
      "ref": "darrellulm/earthquake-predictions-ensemble-neural-networks",
      "votes": 0
    },
    {
      "ref": "carolmay/earthquake-draft",
      "votes": 1
    },
    {
      "ref": "harshel7/earthquake-predictions-ensemble-neural-networks",
      "votes": 79
    },
    {
      "ref": "harshel7/earthquake-prediction-ensemble-nn",
      "votes": 18
    },
    {
      "ref": "ahmedengu/lanl-earthquake-with-h2o-automl",
      "votes": 3
    },
    {
      "ref": "ashay10001/stacking-of-svr-and-catboost",
      "votes": 2
    },
    {
      "ref": "devilears/siraj-s-steps-lstm",
      "votes": 43
    },
    {
      "ref": "friedchips/how-to-reduce-the-training-data-to-400mb",
      "votes": 109
    },
    {
      "ref": "gpreda/lanl-earthquake-prediction",
      "votes": 24
    },
    {
      "ref": "tunguz/lanl-earthquake-with-h2o-automl",
      "votes": 103
    },
    {
      "ref": "adubitskiy/rnn-with-cnn-feature-extraction",
      "votes": 33
    },
    {
      "ref": "subhamsharma96/earthquake-prediction-eda-featureengineering-svr",
      "votes": 9
    },
    {
      "ref": "ashay10001/lanl-earthquake-prediction-in-svr",
      "votes": 15
    },
    {
      "ref": "rahulvs94/earthquake-prediction",
      "votes": 2
    },
    {
      "ref": "ahmedengu/lanl-earthquake-simple-svm",
      "votes": 5
    },
    {
      "ref": "tunguz/andrews-features-only",
      "votes": 37
    },
    {
      "ref": "hasanyildiz84/lanl-earthquake-prediction-hy-kernel",
      "votes": 0
    },
    {
      "ref": "elvenmonk/lanl-extract-training-acoustic-data",
      "votes": 0
    },
    {
      "ref": "simonta/predict-time-of-earthquake-with-only-one-feature",
      "votes": 7
    },
    {
      "ref": "harshitholmes/extra-trial",
      "votes": 13
    },
    {
      "ref": "behrad3d/a-template-for-vectorized-feature-extraction",
      "votes": 2
    },
    {
      "ref": "michael422/spectrogram-convolution",
      "votes": 71
    },
    {
      "ref": "kalyankkr/predicting-movement",
      "votes": 5
    },
    {
      "ref": "michael422/tf-lstm-on-acoustic-signals",
      "votes": 12
    },
    {
      "ref": "aperezhortal/eda-on-the-frequency-domain-fft",
      "votes": 55
    },
    {
      "ref": "davids1992/adversarial-validation",
      "votes": 16
    },
    {
      "ref": "rihadv/seismic-data-eda-and-baseline",
      "votes": 1
    },
    {
      "ref": "rihadv/shaking-earth",
      "votes": 1
    },
    {
      "ref": "nitingoyal09/lanl-earthquake-prediction-categorical-boosting",
      "votes": 3
    },
    {
      "ref": "shobhit18th/earthquake-prediction",
      "votes": 4
    },
    {
      "ref": "kalyankkr/sesmic-signal",
      "votes": 3
    },
    {
      "ref": "sparshdutta/can-you-predict-the-next-earthquake",
      "votes": 3
    },
    {
      "ref": "avloss/audio-analysis-with-animation",
      "votes": 125
    },
    {
      "ref": "tanderton/hdf5-conversion-for-fast-data-loading",
      "votes": 22
    },
    {
      "ref": "nisargpatel/time-series-garch-ts-regression",
      "votes": 8
    },
    {
      "ref": "anuragsahoo/earthquake-prediction-new",
      "votes": 0
    },
    {
      "ref": "mmailloux22/i-m-quaking-in-my-boots",
      "votes": 5
    },
    {
      "ref": "pankajb64/shake-it-up",
      "votes": 9
    },
    {
      "ref": "sriram7777/earthquake-detection-baseline-with-fft",
      "votes": 14
    },
    {
      "ref": "mayer79/earthquake-forecast-with-random-forests",
      "votes": 53
    },
    {
      "ref": "scirpus/is-downsampling-a-good-idea",
      "votes": 6
    },
    {
      "ref": "jiazhuang/lstm-with-pytorch-for-beginners",
      "votes": 34
    },
    {
      "ref": "elvenmonk/lanl-ttf-error",
      "votes": 1
    },
    {
      "ref": "jhasony/shaking-earth",
      "votes": 7
    },
    {
      "ref": "johnjarmitage/forest-regression-using-lightgbm",
      "votes": 8
    },
    {
      "ref": "devilears/rnn-starter-kernel-with-notebook",
      "votes": 41
    },
    {
      "ref": "elvenmonk/lanl-feature-plots",
      "votes": 0
    },
    {
      "ref": "tahirmuslimscientist/lanl-earthquake-understanding",
      "votes": 41
    },
    {
      "ref": "scirpus/andrews-script-plus-a-genetic-program-model",
      "votes": 461
    },
    {
      "ref": "byfone/neat-baseline-code-for-earthquake-prediction",
      "votes": 23
    },
    {
      "ref": "cartographic/quake-pipe-r",
      "votes": 38
    },
    {
      "ref": "johnnyd113/baseline-with-explanations-how-to-get-started",
      "votes": 29
    },
    {
      "ref": "elvenmonk/lanl-regression",
      "votes": 1
    },
    {
      "ref": "elvenmonk/lanl-feature-engineering",
      "votes": 0
    },
    {
      "ref": "mgrapotte/finance-and-earthquakes",
      "votes": 15
    },
    {
      "ref": "udaygurugubelli/tf-neuralnet",
      "votes": 3
    },
    {
      "ref": "flaport/linear-regression-on-180-features",
      "votes": 19
    },
    {
      "ref": "davids1992/watching-frequencies-in-the-data",
      "votes": 17
    },
    {
      "ref": "harshitholmes/testing-each-every-regressor-with-own-instances",
      "votes": 12
    },
    {
      "ref": "vaibhav2201/earthquake-prediction-rnn-773103",
      "votes": 6
    },
    {
      "ref": "tsilveira/time-frequency-analysis-with-stft",
      "votes": 82
    },
    {
      "ref": "aquaintel/earthquake-time-prediction-at-lab-scale",
      "votes": 2
    },
    {
      "ref": "karanjakhar/neural-network-earthquake-time-to-failure",
      "votes": 30
    },
    {
      "ref": "sereuk/modeling",
      "votes": 0
    },
    {
      "ref": "econdata/earthquakeprediction",
      "votes": 2
    },
    {
      "ref": "scirpus/welch-gp",
      "votes": 4
    },
    {
      "ref": "ashishpatel26/lgb-xgb-kfold-genetic-programming",
      "votes": 53
    },
    {
      "ref": "tayyabali55/memory-issues-kernel-restarting-will-be-resolved",
      "votes": 10
    },
    {
      "ref": "jpiyush3008/basic-feature-benchmark-503e36",
      "votes": 4
    },
    {
      "ref": "saeedheydari/lanl-earthquake-eda-and-prediction",
      "votes": 4
    },
    {
      "ref": "saeedheydari/eda-data",
      "votes": 1
    },
    {
      "ref": "eigrad/wip-some-audio-digging",
      "votes": 23
    },
    {
      "ref": "fanconic/earthquake-cnn",
      "votes": 40
    },
    {
      "ref": "nikolaym/problem-with-big-size-of-train-csv",
      "votes": 6
    },
    {
      "ref": "jsaguiar/baseline-with-multiple-models",
      "votes": 190
    },
    {
      "ref": "alinealmeida/basic-feature-benchmark-with-quantiles-augmenting",
      "votes": 21
    },
    {
      "ref": "piumallick/earthquake-shivering-of-the-mother-earth",
      "votes": 1
    },
    {
      "ref": "wimwim/rolling-quantiles",
      "votes": 56
    },
    {
      "ref": "braindeadcoder/understanding-and-preparing-seismic-data",
      "votes": 29
    },
    {
      "ref": "wellingtonfsouza/lanl-earthquake-preliminary-data-analysis",
      "votes": 9
    },
    {
      "ref": "srsteinkamp/quick-look-at-data-and-just-for-fun-analysis",
      "votes": 12
    },
    {
      "ref": "zikazika/useful-new-features-and-a-optimised-model",
      "votes": 151
    },
    {
      "ref": "nikitagribov/seismic-signal-eda-analysis-function",
      "votes": 29
    },
    {
      "ref": "nikitagribov/analysis-function-for-seismic-signal-data",
      "votes": 46
    },
    {
      "ref": "zikazika/memory-problems",
      "votes": 105
    },
    {
      "ref": "artgor/earthquakes-fe-more-features-and-samples",
      "votes": 1329
    },
    {
      "ref": "ashishpatel26/updated-mix-model-with-mxtend-gp",
      "votes": 60
    },
    {
      "ref": "matthewarthur/earthquake-fastai-analytics-vidhya-base",
      "votes": 5
    },
    {
      "ref": "gpreda/lanl-earthquake-eda-and-prediction",
      "votes": 1574
    },
    {
      "ref": "matthewarthur/earthquake-preds",
      "votes": 2
    },
    {
      "ref": "mayer79/rnn-starter-for-huge-time-series",
      "votes": 682
    },
    {
      "ref": "stevedelear/description-of-problem",
      "votes": 1
    },
    {
      "ref": "elvenmonk/splitting-lanl-training-data-by-earthquakes",
      "votes": 28
    },
    {
      "ref": "andrekos/basic-feature-benchmark-with-quantiles",
      "votes": 77
    },
    {
      "ref": "gayankuruppu/lets-predict-earthquakes",
      "votes": 2
    },
    {
      "ref": "mhviraf/a-few-thought-on-how-to-approach-this-problem",
      "votes": 25
    },
    {
      "ref": "jpiyush3008/aftershock",
      "votes": 1
    },
    {
      "ref": "frankkoehne/autocorrelation-perspective-r",
      "votes": 19
    },
    {
      "ref": "reginashay/earthquakes-explore-predict",
      "votes": 1
    },
    {
      "ref": "christoffer/quick-and-dirty-splitting-into-training-sequences",
      "votes": 6
    },
    {
      "ref": "datark1/earthquakes-eda-understanding-data",
      "votes": 15
    },
    {
      "ref": "manyregression/lanl-earthquake-prediction-fastai-random-forest",
      "votes": 18
    },
    {
      "ref": "allunia/shaking-earth",
      "votes": 1247
    },
    {
      "ref": "byfone/basic-feature-feat-catboost",
      "votes": 37
    },
    {
      "ref": "jazivxt/aftershock",
      "votes": 137
    },
    {
      "ref": "artgor/seismic-data-eda-and-baseline",
      "votes": 751
    },
    {
      "ref": "jsaguiar/seismic-data-exploration",
      "votes": 256
    },
    {
      "ref": "inversion/basic-feature-benchmark",
      "votes": 915
    },
    {
      "ref": "longyunguo/cnn-with-a-squeeze-and-excitation-mechanism",
      "votes": 23
    }
  ]
}