{
  "source": "Meta Kaggle Kernels.csv",
  "source_snapshot": {
    "source_mtime": 1790828993000000000,
    "source_date": "2026-10-01T04:29:53Z"
  },
  "items": [
    {
      "ref": "ckanduri/code-template",
      "kernel_id": "97978511",
      "votes": 56
    },
    {
      "ref": "jaymineshkumarpatel/machine-learning-for-tcr-seq",
      "kernel_id": "98181986",
      "votes": 1
    },
    {
      "ref": "ckanduri/example-baseline-predictor-using-code-template",
      "kernel_id": "98003211",
      "votes": 165
    },
    {
      "ref": "danielmbuchberger/airr-ml-25-start-eda",
      "kernel_id": "98165600",
      "votes": 6
    },
    {
      "ref": "dkriuchkova/airrml25-tabpfn",
      "kernel_id": "98617146",
      "votes": 5
    },
    {
      "ref": "jirkaborovec/airr-ml-25-eda-convert-dataset-to-parquet",
      "kernel_id": "99774711",
      "votes": 19
    },
    {
      "ref": "jirkaborovec/airr-ml-25-naive-baseline-with-xgboost-pca",
      "kernel_id": "100163143",
      "votes": 33
    },
    {
      "ref": "gabrielcabas/eda-airr-ml",
      "kernel_id": "100507932",
      "votes": 10
    },
    {
      "ref": "bakuer30/air-ml25-xgboost",
      "kernel_id": "101581317",
      "votes": 84
    },
    {
      "ref": "liamarden/blended-with-random-noise",
      "kernel_id": "101405952",
      "votes": 8
    },
    {
      "ref": "anthonytherrien/air-ml25-xgboost-grid-search",
      "kernel_id": "102224657",
      "votes": 39
    },
    {
      "ref": "nocarbonintelligence/airr-isolation-et-t-l-chargements-des-csv-train",
      "kernel_id": "102806516",
      "votes": 0
    },
    {
      "ref": "nocarbonintelligence/airr-ml-25",
      "kernel_id": "102864892",
      "votes": 0
    },
    {
      "ref": "ramazanturann/air-ml25-xgboost-c7fec1",
      "kernel_id": "103084479",
      "votes": 0
    },
    {
      "ref": "ruhul20/air-ml-stacking-xgb-lgb-catboost-pca",
      "kernel_id": "103373685",
      "votes": 4
    },
    {
      "ref": "nocarbonintelligence/airr-ml-25-correction-sur-la-submission",
      "kernel_id": "103065552",
      "votes": 0
    },
    {
      "ref": "codeconline/69-accuracy-public-leaderboard",
      "kernel_id": "104057237",
      "votes": 39
    },
    {
      "ref": "lauvfpitipak/airr-ml-25-adaptive-immune-profiling-v-1",
      "kernel_id": "104441080",
      "votes": 0
    },
    {
      "ref": "lauvfpitipak/airr-ml-25-adaptive-immune-profiling-v-2",
      "kernel_id": "104445594",
      "votes": 0
    },
    {
      "ref": "mr0106/airr-ml",
      "kernel_id": "104576061",
      "votes": 1
    },
    {
      "ref": "mr0106/airr-ml-25",
      "kernel_id": "104568939",
      "votes": 8
    },
    {
      "ref": "mr0106/airr-ml-airr-m",
      "kernel_id": "104679183",
      "votes": 1
    },
    {
      "ref": "mr0106/airr-ml-25-professional-solution",
      "kernel_id": "104686101",
      "votes": 1
    },
    {
      "ref": "mr0106/high-efficiency-immune-state-prediction",
      "kernel_id": "104794982",
      "votes": 1
    },
    {
      "ref": "ajabkhan21/notebook28def40530",
      "kernel_id": "104663587",
      "votes": 2
    },
    {
      "ref": "ajabkhan21/notebook70e9561d72",
      "kernel_id": "104276108",
      "votes": 1
    },
    {
      "ref": "ajabkhan21/notebookf9b021a674",
      "kernel_id": "104277847",
      "votes": 1
    },
    {
      "ref": "ajabkhan21/example-baseline-predictor-using-code-template",
      "kernel_id": "104278501",
      "votes": 1
    },
    {
      "ref": "ajabkhan21/notebook0f236936f4",
      "kernel_id": "104480177",
      "votes": 2
    },
    {
      "ref": "ajabkhan21/notebook779fe28a83",
      "kernel_id": "104478684",
      "votes": 2
    },
    {
      "ref": "lawalgiyath12/psyche",
      "kernel_id": "104700580",
      "votes": 4
    },
    {
      "ref": "ngarai/adaptive-immune-profiling-prediction",
      "kernel_id": "104640646",
      "votes": 0
    },
    {
      "ref": "anuraggupta2006/airr-ml-25",
      "kernel_id": "104304589",
      "votes": 2
    },
    {
      "ref": "sakhawathossen/airr-ml-alnahian",
      "kernel_id": "112755569",
      "votes": 0
    },
    {
      "ref": "sakhawathossen/airr-phase-2-alnahian-7-20-26",
      "kernel_id": "128016768",
      "votes": 6
    },
    {
      "ref": "sakhawathossen/airr-phase-1-alnahian",
      "kernel_id": "128015064",
      "votes": 1
    },
    {
      "ref": "shamimhasan8/phase7-fusion",
      "kernel_id": "128466891",
      "votes": 1
    },
    {
      "ref": "shamimhasan8/phase6-attribution",
      "kernel_id": "128466574",
      "votes": 1
    },
    {
      "ref": "shamimhasan8/phase4-branch-c",
      "kernel_id": "128465687",
      "votes": 1
    },
    {
      "ref": "shamimhasan8/phase5-branch-d",
      "kernel_id": "128466235",
      "votes": 1
    },
    {
      "ref": "shamimhasan8/phase3-branch-b",
      "kernel_id": "128464791",
      "votes": 1
    },
    {
      "ref": "shamimhasan8/phase8-benchmarks",
      "kernel_id": "128467151",
      "votes": 1
    },
    {
      "ref": "shamimhasan8/phase9-packaging",
      "kernel_id": "128467371",
      "votes": 1
    },
    {
      "ref": "shamimhasan8/phase-1-standards-first-data-layer",
      "kernel_id": "128455326",
      "votes": 1
    },
    {
      "ref": "shamimhasan8/phase2-branch-a",
      "kernel_id": "128456655",
      "votes": 1
    },
    {
      "ref": "shamimhasan8/airr-ml-master",
      "kernel_id": "128778767",
      "votes": 2
    }
  ],
  "count": 46
}