{
  "capped": false,
  "live": 185,
  "meta": 191,
  "kernels": [
    {
      "ref": "imnaeunkim/cnn-based-classification-of-light-curves",
      "title": "CNN based Classification of Light Curves",
      "source": "live",
      "kernel_id": "91274292"
    },
    {
      "ref": "debapriyoguha/pie-ada-plasticc",
      "title": "pie-ada-plasticc",
      "source": "live",
      "kernel_id": "87942898"
    },
    {
      "ref": "awais2317/awais-amw",
      "title": "Awais_AMW",
      "source": "live",
      "kernel_id": "83709537"
    },
    {
      "ref": "asimazhar/final-results",
      "title": "final_results",
      "source": "live",
      "kernel_id": "83679764"
    },
    {
      "ref": "imanqaiser/predictionscoring-xgbstatsbasicversion",
      "title": "PredictionScoring_XGBStatsBasicVersion",
      "source": "live",
      "kernel_id": "83670291"
    },
    {
      "ref": "ahmarnoor/ml-project",
      "title": "ML_Project",
      "source": "live",
      "kernel_id": "83666833"
    },
    {
      "ref": "mustfain/plastic",
      "title": "Plastic",
      "source": "live",
      "kernel_id": "83654613"
    },
    {
      "ref": "irtazahyder/submission-1",
      "title": "Submission 1",
      "source": "live",
      "kernel_id": "83652486"
    },
    {
      "ref": "zararshah20/ha-tcn-for-time-series-classification",
      "title": "HA-TCN for Time Series Classification",
      "source": "live",
      "kernel_id": "83538307"
    },
    {
      "ref": "zeeshanahmd/ml-project-2-tuesday",
      "title": "ML_Project_2_Tuesday",
      "source": "live",
      "kernel_id": "83332573"
    },
    {
      "ref": "zeeshanahmd/ml-project-1-grus",
      "title": "ML_Project_1_GRUs",
      "source": "live",
      "kernel_id": "82842041"
    },
    {
      "ref": "zumarafzal/notebooka88155bcc0",
      "title": "notebooka88155bcc0",
      "source": "live",
      "kernel_id": "82835625"
    },
    {
      "ref": "zumarafzal/asitis",
      "title": "AsItIs",
      "source": "live",
      "kernel_id": "82812255"
    },
    {
      "ref": "zumarafzal/paper-2-approach1",
      "title": "Paper 2 Approach1",
      "source": "live",
      "kernel_id": "82506997"
    },
    {
      "ref": "musfiraaslam/ml-power-puff-girls",
      "title": "ML-power-puff-girls",
      "source": "live",
      "kernel_id": "82007184"
    },
    {
      "ref": "muhammadahmadkhalid/plasticc-rnn",
      "title": "PLAsTiCC RNN",
      "source": "live",
      "kernel_id": "81532415"
    },
    {
      "ref": "muhammadahmadkhalid/the-bias-busters-notebook",
      "title": "The Bias Busters notebook",
      "source": "live",
      "kernel_id": "81417747"
    },
    {
      "ref": "entityy256/all-classes-light-curve-characteristics-updated",
      "title": "All Classes Light Curve Characteristics (updated)",
      "source": "live",
      "kernel_id": "65207633"
    },
    {
      "ref": "amitkumaryadav90/cnn-based-classification-of-light-curves-298704",
      "title": "CNN based Classification of Light Curves 298704",
      "source": "live",
      "kernel_id": "65051913"
    },
    {
      "ref": "debapriyoguha/1810027-thesis",
      "title": "1810027 Thesis",
      "source": "live",
      "kernel_id": "53655561"
    },
    {
      "ref": "zongzelee/quantum-test",
      "title": "quantum_test",
      "source": "live",
      "kernel_id": "25716096"
    },
    {
      "ref": "almahmudalmamun/plasticc-with-cnn",
      "title": "PLAsTiCC with CNN",
      "source": "live",
      "kernel_id": "22991227"
    },
    {
      "ref": "kaushikdas27/time-series-classification-plasticc",
      "title": "Time-Series-Classification-PLAsTiCC",
      "source": "live",
      "kernel_id": "20928187"
    },
    {
      "ref": "alexandrelacour/plasticc-lulu",
      "title": "Plasticc Lulu",
      "source": "live",
      "kernel_id": "16948330"
    },
    {
      "ref": "almamun4r/plasticc-2018",
      "title": "PLAsTiCC-2018",
      "source": "live",
      "kernel_id": "15549466"
    },
    {
      "ref": "sherrysheng97/plasticc-dataset-investigation",
      "title": "PlAsTiCC Dataset Investigation",
      "source": "live",
      "kernel_id": "15423647"
    },
    {
      "ref": "sherrysheng97/drw-estimation-for-plasticc-dataset",
      "title": "DRW estimation for PLAsTiCC Dataset",
      "source": "live",
      "kernel_id": "15395650"
    },
    {
      "ref": "sherrysheng97/tests-and-thoughts",
      "title": "tests and thoughts",
      "source": "live",
      "kernel_id": "15053006"
    },
    {
      "ref": "sherrysheng97/data-preprocessing-plasticc",
      "title": "Data Preprocessing (PLASTiCC)",
      "source": "live",
      "kernel_id": "15011086"
    },
    {
      "ref": "sherrysheng97/quasar-classifier-plasticc",
      "title": "Quasar_Classifier (PLAsTiCC)",
      "source": "live",
      "kernel_id": "14921630"
    },
    {
      "ref": "gubanovfedor/rnnsolution",
      "title": "RNNSolution",
      "source": "live",
      "kernel_id": "12785449"
    },
    {
      "ref": "codinbro/fork-of-data-mining-assignment1",
      "title": "Fork of Data_mining_Assignment1",
      "source": "live",
      "kernel_id": "8296086"
    },
    {
      "ref": "jiweiliu/dask-dataframe-bigger-than-memory-test",
      "title": "dask_dataframe_bigger_than_memory_test",
      "source": "live",
      "kernel_id": "7747879"
    },
    {
      "ref": "riteshkankonkar/dir-per-unique-class-for-image-classification",
      "title": "dir_per_unique_class_for_image_classification",
      "source": "live",
      "kernel_id": "7635980"
    },
    {
      "ref": "tossaponboongoen/feature-engineering-with-gaussian-process",
      "title": "Feature Engineering with Gaussian Process",
      "source": "live",
      "kernel_id": "4694985"
    },
    {
      "ref": "asura93/using-cnns-in-time-series-analysis",
      "title": "Using CNNs in time series analysis",
      "source": "live",
      "kernel_id": "3612151"
    },
    {
      "ref": "mykras/220319-plasticc",
      "title": "220319_PLAsTiCC",
      "source": "live",
      "kernel_id": "3347547"
    },
    {
      "ref": "mykras/210319-plasticc-data-table",
      "title": "210319_PLAsTiCC_data.table",
      "source": "live",
      "kernel_id": "3332925"
    },
    {
      "ref": "rababchahboune/gp-flux-prediction",
      "title": "GP_flux_prediction",
      "source": "live",
      "kernel_id": "3258607"
    },
    {
      "ref": "katiamedjani/plasticc-katia",
      "title": "Plasticc-katia",
      "source": "live",
      "kernel_id": "2983595"
    },
    {
      "ref": "kenmatsu4/feature-engineering-with-gaussian-process",
      "title": "Feature Engineering with Gaussian Process",
      "source": "live",
      "kernel_id": "2496380"
    },
    {
      "ref": "zerrxy/plasticc-rnn",
      "title": "PLAsTiCC RNN",
      "source": "live",
      "kernel_id": "2487706"
    },
    {
      "ref": "yuval6967/3rd-place-cnn",
      "title": "3rd Place CNN",
      "source": "live",
      "kernel_id": "2443205"
    },
    {
      "ref": "nyanpn/salt-2-feature-part-of-3rd-place-solution",
      "title": "SALT-2 feature (part of 3rd place solution)",
      "source": "live",
      "kernel_id": "2435078"
    },
    {
      "ref": "marcmuc/large-csv-datasets-with-pandas-use-less-memory",
      "title": "Large CSV datasets with pandas (use less memory!)",
      "source": "live",
      "kernel_id": "2417357"
    },
    {
      "ref": "samusram/representative-light-curves-for-hard-classes",
      "title": "Representative light curves for hard classes",
      "source": "live",
      "kernel_id": "2416296"
    },
    {
      "ref": "mithrillion/ahmeterdem-s-curve-fit-speed-up",
      "title": "AhmetErdem's Curve Fit Speed Up",
      "source": "live",
      "kernel_id": "2409697"
    },
    {
      "ref": "jimpsull/plasticc-path-and-lessons-learned",
      "title": "PLAsTiCC Path and Lessons Learned",
      "source": "live",
      "kernel_id": "2408819"
    },
    {
      "ref": "jimpsull/shallowlgbensembler",
      "title": "shallowLgbEnsembler",
      "source": "live",
      "kernel_id": "2408081"
    },
    {
      "ref": "ebudia/fork-of-fork-of-fork-of-jointest-31-v3-75f1b6",
      "title": "Fork of Fork of Fork of JoinTest 31 v3 75f1b6",
      "source": "live",
      "kernel_id": "2403810"
    },
    {
      "ref": "kaerunantoka/0-943-cv-0-52974-features-136",
      "title": "0.943 + CV 0.52974 features 136",
      "source": "live",
      "kernel_id": "2403038"
    },
    {
      "ref": "jimpsull/neuralmoredecisive",
      "title": "neuralMoreDecisive",
      "source": "live",
      "kernel_id": "2398856"
    },
    {
      "ref": "jimpsull/latestneuralfiftyfiftyblendwithmoredecisiveneural",
      "title": "latestNeuralFiftyFiftyBlendWithMoreDecisiveNeural",
      "source": "live",
      "kernel_id": "2398823"
    },
    {
      "ref": "johnfarrell/plasticc-2018-emb-gru",
      "title": "plasticc-2018-emb-gru",
      "source": "live",
      "kernel_id": "2395879"
    },
    {
      "ref": "meaninglesslives/a-slightly-better-nn-arch-and-some-tricks",
      "title": "A slightly better NN Arch and Some Tricks",
      "source": "live",
      "kernel_id": "2391336"
    },
    {
      "ref": "amitkumarjaiswal/boost-plasticc",
      "title": "Boost Plasticc",
      "source": "live",
      "kernel_id": "2390609"
    },
    {
      "ref": "hellokitty23/fork-of-kernele25cb411bb",
      "title": "Fork of kernele25cb411bb",
      "source": "live",
      "kernel_id": "2383385"
    },
    {
      "ref": "jimpsull/mergeneural512newparams",
      "title": "mergeNeural512NewParams",
      "source": "live",
      "kernel_id": "2383383"
    },
    {
      "ref": "jimpsull/igneural1024newfeats",
      "title": "igNeural1024NewFeats",
      "source": "live",
      "kernel_id": "2381704"
    },
    {
      "ref": "jimpsull/egneural512newfeats",
      "title": "egNeural512NewFeats",
      "source": "live",
      "kernel_id": "2381700"
    },
    {
      "ref": "jimpsull/lognormalizefeaturesetstogetherwextrafeats",
      "title": "logNormalizeFeatureSetsTogetherWExtraFeats",
      "source": "live",
      "kernel_id": "2381680"
    },
    {
      "ref": "jimpsull/fiftyfivefourtyfiveblend",
      "title": "fiftyFiveFourtyFiveBlend",
      "source": "live",
      "kernel_id": "2381136"
    },
    {
      "ref": "jasperderikxvantage/olivier-s-kernel-in-sklearn-pipeline",
      "title": "Olivier's kernel in sklearn pipeline",
      "source": "live",
      "kernel_id": "2380148"
    },
    {
      "ref": "ebudia/lgbm-31-1-w",
      "title": "LGBM 31.1 w",
      "source": "live",
      "kernel_id": "2372680"
    },
    {
      "ref": "jimpsull/egneuraltt512wsmote",
      "title": "egNeuralTT512WSmote",
      "source": "live",
      "kernel_id": "2371630"
    },
    {
      "ref": "ebudia/lgbm-31-wo-0-536906",
      "title": "LGBM 31 wo 0.536906",
      "source": "live",
      "kernel_id": "2362183"
    },
    {
      "ref": "jimpsull/lognormalizefeaturesetstogether",
      "title": "logNormalizeFeatureSetsTogether",
      "source": "live",
      "kernel_id": "2361858"
    },
    {
      "ref": "ebudia/nnmodel-v1-wo",
      "title": "NNMODEL v1 wo",
      "source": "live",
      "kernel_id": "2357901"
    },
    {
      "ref": "jimpsull/adjustpredictiondataframe",
      "title": "AdjustPredictionDataFrame",
      "source": "live",
      "kernel_id": "2352591"
    },
    {
      "ref": "jimpsull/blendmodels",
      "title": "BlendModels",
      "source": "live",
      "kernel_id": "2342283"
    },
    {
      "ref": "ankitchaudhary23/plastic-in-python",
      "title": "plastic in python",
      "source": "live",
      "kernel_id": "2330800"
    },
    {
      "ref": "cttsai/smote-on-lgbm-w-ideas-from-kernels-and-discussion",
      "title": "SMOTE on LGBM w/ ideas from kernels and discussion",
      "source": "live",
      "kernel_id": "2323928"
    },
    {
      "ref": "jimpsull/parametergridsearch",
      "title": "ParameterGridSearch",
      "source": "live",
      "kernel_id": "2306501"
    },
    {
      "ref": "jimpsull/ourpathtowherewearenewparams",
      "title": "OurPathToWhereWeAreNewParams",
      "source": "live",
      "kernel_id": "2304773"
    },
    {
      "ref": "jimpsull/collaboratingwithkagglecommunity-1-037-lb",
      "title": "CollaboratingWithKaggleCommunity (1.037 LB)",
      "source": "live",
      "kernel_id": "2304658"
    },
    {
      "ref": "billstam123/convolutional-autoencoding-of-the-time-seri-a76ec1",
      "title": "Convolutional Autoencoding of the time-seri a76ec1",
      "source": "live",
      "kernel_id": "2301751"
    },
    {
      "ref": "manugangler/optimal-feature-extraction-for-class-6",
      "title": "Optimal feature extraction for class 6",
      "source": "live",
      "kernel_id": "2301629"
    },
    {
      "ref": "scirpus/genetic-programming-confusion-matrix",
      "title": "Genetic Programming Confusion Matrix",
      "source": "live",
      "kernel_id": "2301480"
    },
    {
      "ref": "jimpsull/closethegapbetweencvandlb",
      "title": "closeTheGapBetweenCVandLB",
      "source": "live",
      "kernel_id": "2294649"
    },
    {
      "ref": "johnfarrell/plasticc-2018-simple-rnn-pytorch",
      "title": "plasticc-2018-simple-rnn-pytorch",
      "source": "live",
      "kernel_id": "2291178"
    },
    {
      "ref": "jackvial/plasticc-pytorch",
      "title": "Plasticc PyTorch",
      "source": "live",
      "kernel_id": "2276487"
    },
    {
      "ref": "xanthate/eda-python",
      "title": "EDA-Python",
      "source": "live",
      "kernel_id": "2235256"
    },
    {
      "ref": "nakasho/plasticc-data-plot-with-healpy",
      "title": "PLAsTiCC data plot with healpy",
      "source": "live",
      "kernel_id": "2224773"
    },
    {
      "ref": "jimpsull/truncatemithrillionsstandardfeatures",
      "title": "TruncateMithrillionsStandardFeatures",
      "source": "live",
      "kernel_id": "2219139"
    },
    {
      "ref": "deepikaggupta/plasticc-a",
      "title": "PLAsTiCC A",
      "source": "live",
      "kernel_id": "2217214"
    },
    {
      "ref": "higepon/updated-keras-cnn-use-time-series-data-as-is",
      "title": "(Updated) Keras + CNN: Use time series data as is",
      "source": "live",
      "kernel_id": "2212441"
    },
    {
      "ref": "saams4u/plasticc-classification-demo-98ec89",
      "title": "plasticc_classification_demo 98ec89",
      "source": "live",
      "kernel_id": "2205242"
    },
    {
      "ref": "aantonova/cnn-signals-as-images",
      "title": "CNN - signals as images",
      "source": "live",
      "kernel_id": "2203836"
    },
    {
      "ref": "scirpus/discrete-time-warp",
      "title": "Discrete Time Warp",
      "source": "live",
      "kernel_id": "2198288"
    },
    {
      "ref": "jimpsull/featuremergingkernelwithaggcustom",
      "title": "FeatureMergingKernelWithAggCustom",
      "source": "live",
      "kernel_id": "2198076"
    },
    {
      "ref": "mithrillion/a-few-python-tricks-to-mod-sklearn",
      "title": "A Few Python Tricks to Mod SkLearn",
      "source": "live",
      "kernel_id": "2195592"
    },
    {
      "ref": "scirpus/diff-or-sum",
      "title": "Diff or Sum",
      "source": "live",
      "kernel_id": "2194251"
    },
    {
      "ref": "pankajb64/plasticc-dmdt-eda",
      "title": "Plasticc DMDT EDA",
      "source": "live",
      "kernel_id": "2189215"
    },
    {
      "ref": "higepon/keras-rnn-gru-to-handle-passbands-as-timeseries",
      "title": "Keras + RNN(GRU) to handle passbands as timeseries",
      "source": "live",
      "kernel_id": "2184707"
    },
    {
      "ref": "scirpus/straight-gp-clustering-for-lsst",
      "title": "Straight GP Clustering for LSST",
      "source": "live",
      "kernel_id": "2180211"
    },
    {
      "ref": "jimpsull/writefeaturetablefromsmotedartset",
      "title": "WriteFeatureTableFromSmoteDartSet",
      "source": "live",
      "kernel_id": "2165863"
    },
    {
      "ref": "jimpsull/improveclass99fordartsmoteset",
      "title": "ImproveClass99ForDartSmoteSet",
      "source": "live",
      "kernel_id": "2164631"
    },
    {
      "ref": "jimpsull/forked-dart-w-ideas-from-kernels-added-smote",
      "title": "Forked DART w/ ideas from kernels added Smote",
      "source": "live",
      "kernel_id": "2160599"
    },
    {
      "ref": "rooshroosh/forked-dart-w-ideas-from-kernels-and-discuss",
      "title": "Forked DART w/ ideas from kernels and discuss",
      "source": "live",
      "kernel_id": "2152788"
    },
    {
      "ref": "cttsai/forked-lgbm-w-ideas-from-kernels-and-discuss",
      "title": "Forked LGBM w/ ideas from kernels and discuss",
      "source": "live",
      "kernel_id": "2148650"
    },
    {
      "ref": "jimpsull/smoteappliedeachstepwithoutweighting",
      "title": "SmoteAppliedEachStepWithoutWeighting",
      "source": "live",
      "kernel_id": "2148091"
    },
    {
      "ref": "cttsai/lgbm-forked-ideas-from-kernels-and-discussion",
      "title": "LGBM forked ideas from kernels and discussion",
      "source": "live",
      "kernel_id": "2134887"
    },
    {
      "ref": "cttsai/xgb-from-ideas-from-kernels-and-discussion",
      "title": "XGB from ideas-from-kernels-and-discussion",
      "source": "live",
      "kernel_id": "2130041"
    },
    {
      "ref": "pankajb64/cnn-based-classification-of-light-curves",
      "title": "CNN based Classification of Light Curves",
      "source": "live",
      "kernel_id": "2129101"
    },
    {
      "ref": "jimpsull/train-and-submit",
      "title": "Train and submit",
      "source": "live",
      "kernel_id": "2120680"
    },
    {
      "ref": "hrmello/using-cnns-in-time-series-analysis",
      "title": "Using CNNs in time series analysis",
      "source": "live",
      "kernel_id": "2120014"
    },
    {
      "ref": "authman/plasticc-in-a-kernel-meta-and-data",
      "title": "PLAsTiCC_in_a_kernel_meta_and_data",
      "source": "live",
      "kernel_id": "2105332"
    },
    {
      "ref": "iprapas/ideas-from-kernels-and-discussion-lb-1-135",
      "title": "Ideas from kernels and discussion (LB ~ 1.135)",
      "source": "live",
      "kernel_id": "2094759"
    },
    {
      "ref": "scirpus/photoz2distance",
      "title": "Photoz2Distance",
      "source": "live",
      "kernel_id": "2083594"
    },
    {
      "ref": "cpmpml/where-is-the-gap",
      "title": "Where is the gap?",
      "source": "live",
      "kernel_id": "2081783"
    },
    {
      "ref": "stacydean/test-data-parser",
      "title": "Test data parser",
      "source": "live",
      "kernel_id": "2076289"
    },
    {
      "ref": "tarunpaparaju/plasticc-comprehensive-eda-with-gp",
      "title": "PLAsTiCC Comprehensive EDA with GP",
      "source": "live",
      "kernel_id": "2073099"
    },
    {
      "ref": "jimpsull/somethingdifferent-testsetedition",
      "title": "SomethingDifferent - TestSetEdition",
      "source": "live",
      "kernel_id": "2063379"
    },
    {
      "ref": "jimpsull/something-different",
      "title": "Something different",
      "source": "live",
      "kernel_id": "2062232"
    },
    {
      "ref": "gregbehm/plasticc-data-reader-get-objects-by-id",
      "title": "PLAsTiCC data reader: get_objects_by_id",
      "source": "live",
      "kernel_id": "2055569"
    },
    {
      "ref": "bulatza/blend-them-all-best-public-score",
      "title": "Blend_them_all (best public score)",
      "source": "live",
      "kernel_id": "2044815"
    },
    {
      "ref": "cyrusian/plastic-cyrus-1",
      "title": "plastic-cyrus-1",
      "source": "live",
      "kernel_id": "2036260"
    },
    {
      "ref": "mithrillion/know-your-objective",
      "title": "Know Your Objective",
      "source": "live",
      "kernel_id": "2034232"
    },
    {
      "ref": "nadare/feature-engenieering-with-pivot-table",
      "title": "feature engenieering with pivot_table",
      "source": "live",
      "kernel_id": "2027263"
    },
    {
      "ref": "druidh/features-processing-benchmark",
      "title": "Features processing - benchmark",
      "source": "live",
      "kernel_id": "2018364"
    },
    {
      "ref": "mithrillion/all-classes-light-curve-characteristics-updated",
      "title": "All Classes Light Curve Characteristics (updated)",
      "source": "live",
      "kernel_id": "2016469"
    },
    {
      "ref": "marcolam/cmc-plots-modified",
      "title": "CMC Plots modified",
      "source": "live",
      "kernel_id": "2009593"
    },
    {
      "ref": "cpmpml/some-peculiarity",
      "title": "Some peculiarity",
      "source": "live",
      "kernel_id": "2009154"
    },
    {
      "ref": "hsankesara/plasticc-eda",
      "title": "PlAsTiCC EDA",
      "source": "live",
      "kernel_id": "2007299"
    },
    {
      "ref": "rejpalcz/feature-extraction-using-period-analysis",
      "title": "Feature extraction using period analysis",
      "source": "live",
      "kernel_id": "1996980"
    },
    {
      "ref": "scirpus/kl-gp-clustering",
      "title": "KL GP Clustering",
      "source": "live",
      "kernel_id": "1996283"
    },
    {
      "ref": "rooshroosh/fork-simple-mlp-for-time-series-classification",
      "title": "Fork Simple MLP for Time Series Classification",
      "source": "live",
      "kernel_id": "1993534"
    },
    {
      "ref": "bharat0/visualizing-light-curves-for-each-class",
      "title": "Visualizing Light curves for each class",
      "source": "live",
      "kernel_id": "1991709"
    },
    {
      "ref": "mithrillion/strategies-for-flux-time-series-preprocessing",
      "title": "Strategies for Flux Time Series Preprocessing",
      "source": "live",
      "kernel_id": "1987143"
    },
    {
      "ref": "ogrellier/multi-core-aggregations",
      "title": "multi_core_aggregations",
      "source": "live",
      "kernel_id": "1986866"
    },
    {
      "ref": "scirpus/sonething-funky",
      "title": "Sonething Funky",
      "source": "live",
      "kernel_id": "1986001"
    },
    {
      "ref": "meaninglesslives/simple-neural-net-for-time-series-classification",
      "title": "Simple Neural Net for Time Series Classification",
      "source": "live",
      "kernel_id": "1979628"
    },
    {
      "ref": "aantonova/aggregate-datasets-by-means-and-vars",
      "title": "Aggregate datasets by means and vars",
      "source": "live",
      "kernel_id": "1979268"
    },
    {
      "ref": "sergeylebedev/light-curve-equalization",
      "title": "light curve equalization",
      "source": "live",
      "kernel_id": "1976704"
    },
    {
      "ref": "nanmaran/periodogram-visualization-lomb-scargle",
      "title": "Periodogram Visualization (Lomb-Scargle)",
      "source": "live",
      "kernel_id": "1973440"
    },
    {
      "ref": "scirpus/plasticc-pipeline-starter",
      "title": "Plasticc Pipeline Starter",
      "source": "live",
      "kernel_id": "1970652"
    },
    {
      "ref": "horohoro/lgb-parameter-simplever-lb1-55",
      "title": "LGB Parameter_SimpleVer.LB1.55",
      "source": "live",
      "kernel_id": "1964979"
    },
    {
      "ref": "johnfarrell/plasticc-2018-another-training-set-eda",
      "title": "plasticc-2018-another-training-set-eda",
      "source": "live",
      "kernel_id": "1963974"
    },
    {
      "ref": "alexfir/light-curves-visualization",
      "title": "Light curves visualization",
      "source": "live",
      "kernel_id": "1950415"
    },
    {
      "ref": "scirpus/lomb-scargle",
      "title": "Lomb Scargle",
      "source": "live",
      "kernel_id": "1949925"
    },
    {
      "ref": "devansh2698/basic-exploratory-analysis",
      "title": "Basic Exploratory analysis",
      "source": "live",
      "kernel_id": "1947929"
    },
    {
      "ref": "ryou01/kernel-hosi",
      "title": "kernel_hosi",
      "source": "live",
      "kernel_id": "1946632"
    },
    {
      "ref": "scirpus/predict-by-row-then-average",
      "title": "Predict by row then average",
      "source": "live",
      "kernel_id": "1942046"
    },
    {
      "ref": "scirpus/change-in-flux",
      "title": "Change in Flux",
      "source": "live",
      "kernel_id": "1935000"
    },
    {
      "ref": "ashishpatel26/can-this-make-sense-of-the-universe-tuned",
      "title": "🚀Can this make sense of the Universe-Tuned..✔✔✔✔✔",
      "source": "live",
      "kernel_id": "1933615"
    },
    {
      "ref": "marcolam/some-test-plots",
      "title": "Some test plots",
      "source": "live",
      "kernel_id": "1930047"
    },
    {
      "ref": "alexfir/fast-test-set-reading",
      "title": "Fast test_set reading ",
      "source": "live",
      "kernel_id": "1925446"
    },
    {
      "ref": "alexfir/test-set-columns-part-2",
      "title": "Test set columns part 2",
      "source": "live",
      "kernel_id": "1925427"
    },
    {
      "ref": "tarunpaparaju/plasticc-challenge-neural-network-with-gp",
      "title": "PLAsTiCC Challenge : Neural Network with GP",
      "source": "live",
      "kernel_id": "1919593"
    },
    {
      "ref": "chocozzz/the-plasticc-astronomical-classification-eda",
      "title": "The PLAsTiCC Astronomical Classification : EDA",
      "source": "live",
      "kernel_id": "1914068"
    },
    {
      "ref": "joshualin24/redshift-infomation-specz-and-photoz",
      "title": "Redshift infomation (specz and photoz)",
      "source": "live",
      "kernel_id": "1904531"
    },
    {
      "ref": "thibmain/save-test-chunks",
      "title": "Save_test_chunks",
      "source": "live",
      "kernel_id": "1901498"
    },
    {
      "ref": "alexfir/test-set-columns-part-1",
      "title": "Test set columns part 1",
      "source": "live",
      "kernel_id": "1898391"
    },
    {
      "ref": "meaninglesslives/lgb-parameter-tuning",
      "title": "LGB Parameter Tuning",
      "source": "live",
      "kernel_id": "1877042"
    },
    {
      "ref": "sergeylebedev/fine-tuned-weighted-loss-benchmark",
      "title": "fine tuned weighted loss benchmark",
      "source": "live",
      "kernel_id": "1875522"
    },
    {
      "ref": "alexandershustanov/plasticc-flux-evolution-animation",
      "title": "PLAsTiCC Flux evolution animation",
      "source": "live",
      "kernel_id": "1874233"
    },
    {
      "ref": "darbin/weighted-naive-benchmark-lb-2-081",
      "title": "Weighted Naive Benchmark. LB 2.081",
      "source": "live",
      "kernel_id": "1871397"
    },
    {
      "ref": "johnfarrell/plasticc-in-a-kernel-meta-and-data-c7a0fc",
      "title": "PLAsTiCC_in_a_kernel_meta_and_data c7a0fc",
      "source": "live",
      "kernel_id": "1869117"
    },
    {
      "ref": "maidaly/interactive-eda-and-visualization-for-plasticc",
      "title": "Interactive EDA and Visualization for PLAsTiCC",
      "source": "live",
      "kernel_id": "1867709"
    },
    {
      "ref": "ganfear/calculate-exact-class-weights",
      "title": "Calculate exact class weights",
      "source": "live",
      "kernel_id": "1865214"
    },
    {
      "ref": "ogrellier/plasticc-in-a-kernel-meta-and-data",
      "title": "PLAsTiCC_in_a_kernel_meta_and_data",
      "source": "live",
      "kernel_id": "1863675"
    },
    {
      "ref": "ogrellier/plasticc-adversarial-validation",
      "title": "PLAstiCC_adversarial_validation",
      "source": "live",
      "kernel_id": "1862752"
    },
    {
      "ref": "vandavv/plasticcvis-data-visualizations-for-plasticc",
      "title": "PlasticcVis - data visualizations for PLAsTiCC",
      "source": "live",
      "kernel_id": "1858049"
    },
    {
      "ref": "billycrawford/plasticc-eda",
      "title": "PLAsTiCC EDA",
      "source": "live",
      "kernel_id": "1854938"
    },
    {
      "ref": "nasirislamsujan/eda-prediction-beginner-approach",
      "title": "EDA + Prediction | Beginner Approach.",
      "source": "live",
      "kernel_id": "1848166"
    },
    {
      "ref": "aleksandravdyushenko/naive-and-lightgbm-on-meta-with-score-calc",
      "title": "Naive and lightgbm on meta with score calc",
      "source": "live",
      "kernel_id": "1837477"
    },
    {
      "ref": "obrienmitch94/train-set-vs-test-set-differences-eda",
      "title": "Train set vs Test set Differences EDA",
      "source": "live",
      "kernel_id": "1823923"
    },
    {
      "ref": "tomashenco/plasticc-eda",
      "title": "PLAsTICC EDA",
      "source": "live",
      "kernel_id": "1819609"
    },
    {
      "ref": "pratikmirani/pm-the-astronomical-complete-eda-plasticc",
      "title": "PM-The Astronomical (complete) EDA - PLAsTiCC",
      "source": "live",
      "kernel_id": "1817846"
    },
    {
      "ref": "ashutosh7/xgboost-with-static-features",
      "title": "XGboost with static features",
      "source": "live",
      "kernel_id": "1814812"
    },
    {
      "ref": "jeffkk/guessing-the-objects-behind-the-classes",
      "title": "Guessing the objects behind the classes",
      "source": "live",
      "kernel_id": "1808851"
    },
    {
      "ref": "danilodiogo/the-astronomical-complete-eda-plasticc-dataset",
      "title": "The Astronomical (complete) EDA - PLAsTiCC dataset",
      "source": "live",
      "kernel_id": "1808193"
    },
    {
      "ref": "darbin/naive-benchmark-extended-explanation",
      "title": "Naive benchmark extended explanation",
      "source": "live",
      "kernel_id": "1802455"
    },
    {
      "ref": "katedavis/plasticc-classification-demo",
      "title": "plasticc_classification_demo",
      "source": "live",
      "kernel_id": "1799614"
    },
    {
      "ref": "ashutosh7/interactive-exploratory-data-analysis",
      "title": "Interactive  Exploratory Data Analysis",
      "source": "live",
      "kernel_id": "1799149"
    },
    {
      "ref": "yk0711/plotting-light-curves-of-training-data-set",
      "title": "Plotting light curves of training data set",
      "source": "live",
      "kernel_id": "1779283"
    },
    {
      "ref": "mathan/astronomical-factors",
      "title": "Astronomical Factors",
      "source": "live",
      "kernel_id": "1772551"
    },
    {
      "ref": "druidh/time-series-plot",
      "title": "Time series plot",
      "source": "live",
      "kernel_id": "1770786"
    },
    {
      "ref": "kyleboone/naive-benchmark-galactic-vs-extragalactic",
      "title": "Naive Benchmark - Galactic vs Extragalactic",
      "source": "live",
      "kernel_id": "1765474"
    },
    {
      "ref": "paulorzp/1-line-classes-weighted",
      "title": "1 line - classes weighted",
      "source": "live",
      "kernel_id": "1764023"
    },
    {
      "ref": "onodera/all-class-6",
      "title": "All class_6",
      "source": "live",
      "kernel_id": "1762534"
    },
    {
      "ref": "hrmello/dataset-overview-exploration-and-comments",
      "title": "Dataset overview - Exploration and comments",
      "source": "live",
      "kernel_id": "1759587"
    },
    {
      "ref": "johnfarrell/plasticc-2018-metadata-simple-eda",
      "title": "plasticc-2018-metadata-simple-eda",
      "source": "live",
      "kernel_id": "1759196"
    },
    {
      "ref": "michaelapers/the-plasticc-astronomy-classification-demo",
      "title": "The PLAsTiCC Astronomy Classification Demo",
      "source": "live",
      "kernel_id": "1637129"
    },
    {
      "ref": "michaelapers/the-plasticc-astronomy-starter-kit",
      "title": "The PLAsTiCC Astronomy \"Starter Kit\"",
      "source": "live",
      "kernel_id": "1636471"
    },
    {
      "ref": "ashishpatel26/model-interpretation-with-voting-classifier-hard",
      "title": "",
      "source": "meta",
      "kernel_id": "1799835"
    },
    {
      "ref": "arunkumarramanan/awesome-ml-frameworks-and-mnist-classification",
      "title": "",
      "source": "meta",
      "kernel_id": "2270215"
    },
    {
      "ref": "jimpsull/normalizesomethingdifferentfeatures",
      "title": "",
      "source": "meta",
      "kernel_id": "2114250"
    },
    {
      "ref": "sherrysheng97/quasar-classifier-sdss-plasticc",
      "title": "",
      "source": "meta",
      "kernel_id": "14748952"
    },
    {
      "ref": "anhtuannguyen1802/18021366-nguy-n-anh-tu-n",
      "title": "",
      "source": "meta",
      "kernel_id": "22858581"
    },
    {
      "ref": "manueldelfino/light-curve-equalization-only-training",
      "title": "",
      "source": "meta",
      "kernel_id": "36044152"
    }
  ],
  "errors": []
}