{
  "capped": false,
  "live": 426,
  "meta": 442,
  "kernels": [
    {
      "ref": "sysdmg/hubmap-unet",
      "title": "hubmap_unet",
      "source": "live",
      "kernel_id": "119266938"
    },
    {
      "ref": "linjiax/hubmap-sub",
      "title": "hubmap_sub",
      "source": "live",
      "kernel_id": "118594407"
    },
    {
      "ref": "linplusx/data-mining",
      "title": "data_mining",
      "source": "live",
      "kernel_id": "118239600"
    },
    {
      "ref": "smohanesh/classification",
      "title": "Classification",
      "source": "live",
      "kernel_id": "111219393"
    },
    {
      "ref": "smohanesh/fypkd2026",
      "title": "FYPKD2026",
      "source": "live",
      "kernel_id": "110233359"
    },
    {
      "ref": "kayacioglu/grid-search-yolo-medsam-final",
      "title": "grid_search_yolo_medsam_final",
      "source": "live",
      "kernel_id": "108797166"
    },
    {
      "ref": "jihanetsp/fork-of-v2-hacking-the-kidney",
      "title": "Fork of V2 Hacking the kidney",
      "source": "live",
      "kernel_id": "108068361"
    },
    {
      "ref": "kayacioglu/yolov11",
      "title": "Yolov11",
      "source": "live",
      "kernel_id": "105253891"
    },
    {
      "ref": "naijinsun/pytorchfcn-resnet50-256x256",
      "title": "PytorchFCN_Resnet50-256x256",
      "source": "live",
      "kernel_id": "104548816"
    },
    {
      "ref": "ameliefang/pytorchfcn-resnet50-256x256",
      "title": "PytorchFCN_Resnet50-256x256",
      "source": "live",
      "kernel_id": "102885390"
    },
    {
      "ref": "naijinsun/vision-transformer",
      "title": "Vision Transformer",
      "source": "live",
      "kernel_id": "102645638"
    },
    {
      "ref": "kayacioglu/ubmap-kdiney-yolo-sub",
      "title": "ubmap Kdiney Yolo Sub",
      "source": "live",
      "kernel_id": "97644054"
    },
    {
      "ref": "vfxgb11/notebookf00224c310",
      "title": "notebookf00224c310",
      "source": "live",
      "kernel_id": "80749115"
    },
    {
      "ref": "roy5000/uwmgi-segmentation",
      "title": "UWMGI_Segmentation",
      "source": "live",
      "kernel_id": "75193809"
    },
    {
      "ref": "omarkhaled24810/kidney-final-stage",
      "title": "Kidney Final Stage",
      "source": "live",
      "kernel_id": "53763039"
    },
    {
      "ref": "shabilion/yolov6",
      "title": "Yolov6",
      "source": "live",
      "kernel_id": "50318487"
    },
    {
      "ref": "abebe9849/hubmap-pytorch-smp-unet",
      "title": "HuBMAP - Pytorch smp Unet++",
      "source": "live",
      "kernel_id": "49826609"
    },
    {
      "ref": "mouneshpatil/hubmap",
      "title": "hubmap  ",
      "source": "live",
      "kernel_id": "49672781"
    },
    {
      "ref": "mouneshpatil/hubmap-final-methodology-submission",
      "title": "HubMap Final Methodology Submission",
      "source": "live",
      "kernel_id": "49667043"
    },
    {
      "ref": "mouneshpatil/one-stop-understanding-eda-efficientunet",
      "title": "ONE STOP: Understanding+EDA+EfficientUNet ",
      "source": "live",
      "kernel_id": "49556492"
    },
    {
      "ref": "mouneshpatil/creating-mask-from-bbox-with-deepmac",
      "title": "Creating Mask from Bbox with DeepMAC",
      "source": "live",
      "kernel_id": "49556405"
    },
    {
      "ref": "mouneshpatil/train-fpn-segmentation-model-no-43e",
      "title": "[train] FPN Segmentation model no. 43e",
      "source": "live",
      "kernel_id": "49556324"
    },
    {
      "ref": "mouneshpatil/hubmap-efficient-sampling-ii-deepflash2",
      "title": "HuBMAP Efficient Sampling II (deepflash2)",
      "source": "live",
      "kernel_id": "49556273"
    },
    {
      "ref": "mouneshpatil/hubmap-deepflash2-train",
      "title": "HuBMAP deepflash2 [train]",
      "source": "live",
      "kernel_id": "49556252"
    },
    {
      "ref": "mouneshpatil/hubmap-deepflash2-judge-price",
      "title": "HuBMAP deepflash2 [judge price]",
      "source": "live",
      "kernel_id": "49556066"
    },
    {
      "ref": "mouneshpatil/efficientnet-linknet-or-unet-07c90f",
      "title": "Efficientnet + Linknet or Unet 07c90f",
      "source": "live",
      "kernel_id": "49461673"
    },
    {
      "ref": "mouneshpatil/hubmap-exploratory-data-analysis-c3afd8",
      "title": "HuBMAP - Exploratory data analysis c3afd8",
      "source": "live",
      "kernel_id": "49461165"
    },
    {
      "ref": "mouneshpatil/hubmap-exploratory-data-analysis",
      "title": "HuBMAP - Exploratory Data Analysis",
      "source": "live",
      "kernel_id": "49461067"
    },
    {
      "ref": "mouneshpatil/pixel-size-and-tissue-thickness-domain-adaptation",
      "title": "Pixel Size and Tissue Thickness Domain Adaptation",
      "source": "live",
      "kernel_id": "49305660"
    },
    {
      "ref": "mouneshpatil/hubmap-hacking-the-kidney",
      "title": "HuBMAP - Hacking the Kidney",
      "source": "live",
      "kernel_id": "49168179"
    },
    {
      "ref": "patipoltiyajamorn/cbam-r2unet-kidney-segmentation",
      "title": "CBAM_R2UNet - Kidney Segmentation",
      "source": "live",
      "kernel_id": "45705900"
    },
    {
      "ref": "ifuzheng/hubmap-unet",
      "title": "HuBMAP Unet",
      "source": "live",
      "kernel_id": "45691725"
    },
    {
      "ref": "king307/resnet-unet",
      "title": "Resnet+unet",
      "source": "live",
      "kernel_id": "45685967"
    },
    {
      "ref": "kristianzeng/kidney-final-stage",
      "title": "Kidney Final Stage",
      "source": "live",
      "kernel_id": "45635692"
    },
    {
      "ref": "king307/final-version",
      "title": "Final_version",
      "source": "live",
      "kernel_id": "45531049"
    },
    {
      "ref": "ruoyu1024/ai-test-lab1",
      "title": "AI test lab1",
      "source": "live",
      "kernel_id": "44119494"
    },
    {
      "ref": "berkayaydeniz/hubmap-exploratory-data-analysis-aciklama",
      "title": "hubmap-exploratory-data-analysis_ACIKLAMA",
      "source": "live",
      "kernel_id": "44014892"
    },
    {
      "ref": "konathamanilkrishna/kidneysegmentationimageprocessing",
      "title": "KidneySegmentationImageProcessing",
      "source": "live",
      "kernel_id": "42651531"
    },
    {
      "ref": "uitacma/kech-unanalyzed-tilessomek",
      "title": "kech_unanalyzed_tilessomek",
      "source": "live",
      "kernel_id": "42062996"
    },
    {
      "ref": "uitacma/kech-unanalyzed-tiles105k",
      "title": "kech_unanalyzed_tiles105k",
      "source": "live",
      "kernel_id": "42039339"
    },
    {
      "ref": "sabahesaraki/kidney-tissue-segmentation-mask",
      "title": "kidney tissue segmentation-Mask",
      "source": "live",
      "kernel_id": "41479946"
    },
    {
      "ref": "sabahesaraki/kidney-tissue-segmentation-eda",
      "title": "kidney tissue segmentation-EDA",
      "source": "live",
      "kernel_id": "41343572"
    },
    {
      "ref": "ch1119/hubmap-pytorch-fast-ai-starter-sub",
      "title": "HuBMAP Pytorch/fast.ai starter sub",
      "source": "live",
      "kernel_id": "33032306"
    },
    {
      "ref": "ch1119/final-project",
      "title": "Final Project",
      "source": "live",
      "kernel_id": "33027850"
    },
    {
      "ref": "quantiphi/hubmap-rishabh",
      "title": "hubmap rishabh ",
      "source": "live",
      "kernel_id": "32430410"
    },
    {
      "ref": "shyamgupta196/tiff-guide-ot-ot",
      "title": "Tiff Guide OT/\\OT",
      "source": "live",
      "kernel_id": "31022231"
    },
    {
      "ref": "chuaziheng/cz4041-zh",
      "title": "CZ4041_ZH",
      "source": "live",
      "kernel_id": "31000841"
    },
    {
      "ref": "chuaziheng/cz4041-inference",
      "title": "CZ4041 Inference",
      "source": "live",
      "kernel_id": "30171711"
    },
    {
      "ref": "lililycai/deepflash-efficient-sampling-train-external",
      "title": "Deepflash Efficient Sampling (train+external) ",
      "source": "live",
      "kernel_id": "30079187"
    },
    {
      "ref": "jirkaborovec/hubmap-segm-eda-export-rle-mask",
      "title": "HuBMAP⚕️Segm: EDA🔎 & export RLE 😷mask",
      "source": "live",
      "kernel_id": "29519713"
    },
    {
      "ref": "jaideepvalani/tiles-mayo-using-rasterio",
      "title": "Tiles_Mayo_Using_Rasterio",
      "source": "live",
      "kernel_id": "29430685"
    },
    {
      "ref": "gunesevitan/pixel-size-and-tissue-thickness-domain-adaptation",
      "title": "Pixel Size and Tissue Thickness Domain Adaptation",
      "source": "live",
      "kernel_id": "29405277"
    },
    {
      "ref": "mpwolke/hacking-human-body-gdal",
      "title": "Hacking Human Body & GDAL",
      "source": "live",
      "kernel_id": "28216955"
    },
    {
      "ref": "tgound/hubmap-3rd-place-fast",
      "title": "Hubmap 3rd Place Fast",
      "source": "live",
      "kernel_id": "27596004"
    },
    {
      "ref": "tgound/hubmap-exploratory-data-analysis",
      "title": "HuBMAP - Exploratory data analysis",
      "source": "live",
      "kernel_id": "27564097"
    },
    {
      "ref": "damtrongtuyen/hubmap-tilespadded-inference-v2",
      "title": "HuBMAP TilesPadded Inference V2",
      "source": "live",
      "kernel_id": "26622638"
    },
    {
      "ref": "namgalielei/hubmap-tilespadded-inference-v2",
      "title": "HuBMAP TilesPadded Inference V2",
      "source": "live",
      "kernel_id": "26604746"
    },
    {
      "ref": "felipesens/tcc-b0-mostrando-curva-de-treino-e-segmenta-es",
      "title": "TCC - B0, mostrando curva de treino e segmentações",
      "source": "live",
      "kernel_id": "25303007"
    },
    {
      "ref": "lhd0430/hubmap-hacking-the-kidney",
      "title": "HuBMAP - Hacking the Kidney",
      "source": "live",
      "kernel_id": "25233237"
    },
    {
      "ref": "smalldragon11/hubmap-v2",
      "title": "hubmap_v2",
      "source": "live",
      "kernel_id": "24752658"
    },
    {
      "ref": "gssdatamanager/prepare-hubmap-dataset-with-patchify-library",
      "title": "Prepare Hubmap dataset with \"patchify\" library",
      "source": "live",
      "kernel_id": "22027621"
    },
    {
      "ref": "mubashiryasin/tpu-hubmap-double-u-net-model-augmentation",
      "title": "[TPU] HubMAP Double U-Net Model + Augmentation",
      "source": "live",
      "kernel_id": "21600994"
    },
    {
      "ref": "kartikpandeykp/segmentation-model-using-semtorch",
      "title": "Segmentation model using SemTorch",
      "source": "live",
      "kernel_id": "20232467"
    },
    {
      "ref": "iafoss/hubmap-r2-sub",
      "title": "HuBMAP r2 sub",
      "source": "live",
      "kernel_id": "17968751"
    },
    {
      "ref": "georgiikostiuchik/hubmap-sub",
      "title": "HuBMAP - Sub",
      "source": "live",
      "kernel_id": "17730844"
    },
    {
      "ref": "takeajioka/hubmap-tf-with-tpu-efficientunet-overlap-mask",
      "title": "HuBMAP: TF with TPU EfficientUNet overlap-mask",
      "source": "live",
      "kernel_id": "17137858"
    },
    {
      "ref": "henryw35/copy-smp-unet-inference",
      "title": "copy_ smp Unet++ Inference",
      "source": "live",
      "kernel_id": "17111501"
    },
    {
      "ref": "gilfernandes/pytorch-mixed-efficientnet-b7-1536-0-9516",
      "title": "Pytorch_mixed_efficientnet_b7_1536_ 0.9516",
      "source": "live",
      "kernel_id": "17076551"
    },
    {
      "ref": "rpsantosakaggle/no-borders-effect",
      "title": "no_borders_effect",
      "source": "live",
      "kernel_id": "17075102"
    },
    {
      "ref": "shujun717/hubmap-3rd-place-fast",
      "title": "Hubmap 3rd Place Fast",
      "source": "live",
      "kernel_id": "17071232"
    },
    {
      "ref": "khaledmgamal/hubmap-hacking-the-kidney",
      "title": "HuBMAP - Hacking the Kidney",
      "source": "live",
      "kernel_id": "17067590"
    },
    {
      "ref": "sakvaua/testtifffilesubmit",
      "title": "TestTifffileSubmit",
      "source": "live",
      "kernel_id": "16928194"
    },
    {
      "ref": "rpsantosakaggle/xxxxxtestx",
      "title": "xxxxxtestx",
      "source": "live",
      "kernel_id": "16917480"
    },
    {
      "ref": "rpsantosakaggle/python-workaround",
      "title": "python workaround",
      "source": "live",
      "kernel_id": "16915163"
    },
    {
      "ref": "mpware/handlabels-prize",
      "title": "Handlabels prize",
      "source": "live",
      "kernel_id": "16904837"
    },
    {
      "ref": "anjum48/28th-place-inference-code",
      "title": "28th Place Inference Code",
      "source": "live",
      "kernel_id": "16904775"
    },
    {
      "ref": "tiandaye/hubmap-exp007-train",
      "title": "hubmap_exp007 train",
      "source": "live",
      "kernel_id": "16898965"
    },
    {
      "ref": "theoviel/hubmap-final-methodology-submission",
      "title": "HubMap Final Methodology Submission",
      "source": "live",
      "kernel_id": "16895315"
    },
    {
      "ref": "dskswu/team-404-hubmap-presentation-v1-1",
      "title": "Team 404! Hubmap Presentation v1.1 ",
      "source": "live",
      "kernel_id": "16893448"
    },
    {
      "ref": "jesusdon/hubmap-efficient-sampling-deepflash2-train",
      "title": "HuBMAP Efficient Sampling (deepflash2) [train]",
      "source": "live",
      "kernel_id": "16881175"
    },
    {
      "ref": "optimo/hubmap-inference-th-o",
      "title": "HubMap Inference Théo",
      "source": "live",
      "kernel_id": "16878795"
    },
    {
      "ref": "rahanapa/hubmap-efficientnetb7-submission",
      "title": "HUBMAP_efficientnetb7_submission",
      "source": "live",
      "kernel_id": "16878108"
    },
    {
      "ref": "puyuzhou/test-xx",
      "title": "有部分test结合！弱化XX能力特殊标签",
      "source": "live",
      "kernel_id": "16876828"
    },
    {
      "ref": "jesusdon/fork-of-e49b68",
      "title": "Fork of  e49b68",
      "source": "live",
      "kernel_id": "16873194"
    },
    {
      "ref": "pratikkumar/hubmap-win1024-sz480-inference-batched-subds",
      "title": "hubmap_win1024_sz480_inference_batched_subds",
      "source": "live",
      "kernel_id": "16871713"
    },
    {
      "ref": "tlopesma/fork-of-don-t-fail-me-78bc73",
      "title": "Fork of Don't fail me 78bc73",
      "source": "live",
      "kernel_id": "16871190"
    },
    {
      "ref": "abdulkadirguner/11mayis-newmaskversions",
      "title": "11mayis_newMASKversions",
      "source": "live",
      "kernel_id": "16869699"
    },
    {
      "ref": "lhagiimn/test-hubmap-efficient-sampling-final",
      "title": "Test HuBMAP: Efficient Sampling final",
      "source": "live",
      "kernel_id": "16864633"
    },
    {
      "ref": "mistag/train-fpn-segmentation-model-no-43e",
      "title": "[train] FPN Segmentation model no. 43e",
      "source": "live",
      "kernel_id": "16862621"
    },
    {
      "ref": "jihangz/hubmap-576-reduce-fp-sliding-window",
      "title": "HuBMAP 576 reduce FP sliding window",
      "source": "live",
      "kernel_id": "16862256"
    },
    {
      "ref": "matjes/cptac-pda-deepflash2-validation",
      "title": " CPTAC-PDA deepflash2 [validation]",
      "source": "live",
      "kernel_id": "16859780"
    },
    {
      "ref": "matjes/hubmap-deepflash2-scaled-ensemble-submission",
      "title": "HuBMAP deepflash2 scaled ensemble [submission]",
      "source": "live",
      "kernel_id": "16859151"
    },
    {
      "ref": "sonya1/v2-hubmap-tf-with-multi-model-ensumble-sub",
      "title": "V2- HuBMAP: TF with Multi model ensumble[sub]",
      "source": "live",
      "kernel_id": "16858143"
    },
    {
      "ref": "ryunosukeishizaki/our-magics-for-this-competition",
      "title": "Our \"Magics\" for this competition",
      "source": "live",
      "kernel_id": "16851543"
    },
    {
      "ref": "matjes/hubmap-deepflash2-validation",
      "title": "HuBMAP deepflash2 [validation]",
      "source": "live",
      "kernel_id": "16850523"
    },
    {
      "ref": "matjes/hubmap-deepflash2-submission",
      "title": "HuBMAP deepflash2 [submission]",
      "source": "live",
      "kernel_id": "16850380"
    },
    {
      "ref": "muhammadzubairkhan92/hubmap-let-s-visualize-and-understand-dataset",
      "title": "HuBMAP Let's Visualize and Understand Dataset",
      "source": "live",
      "kernel_id": "16847716"
    },
    {
      "ref": "matjes/cptac-pda-train-deepflash2",
      "title": "CPTAC-PDA Train (deepflash2)",
      "source": "live",
      "kernel_id": "16844023"
    },
    {
      "ref": "matjes/cptac-pda-pancreas-efficient-sampling-deepflash2",
      "title": "CPTAC-PDA Pancreas Efficient Sampling (deepflash2)",
      "source": "live",
      "kernel_id": "16843559"
    },
    {
      "ref": "trytolose/ensemble-pipline",
      "title": "ensemble_pipline",
      "source": "live",
      "kernel_id": "16841572"
    },
    {
      "ref": "greylord1996/resnet-34-effnetb4-original-data",
      "title": "resnet_34+effnetb4_original_data",
      "source": "live",
      "kernel_id": "16841358"
    },
    {
      "ref": "matjes/cptac-pda-to-zarr",
      "title": "CPTAC-PDA-to-zarr",
      "source": "live",
      "kernel_id": "16839043"
    },
    {
      "ref": "matjes/hubmap-deepflash2-train",
      "title": "HuBMAP deepflash2 [train]",
      "source": "live",
      "kernel_id": "16834442"
    },
    {
      "ref": "c7934597/hubmap-hacking-the-kidney",
      "title": "HuBMAP - Hacking the Kidney",
      "source": "live",
      "kernel_id": "16828960"
    },
    {
      "ref": "o93333/efficientnet-linknet-or-unet",
      "title": "Efficientnet + Linknet or Unet",
      "source": "live",
      "kernel_id": "16826158"
    },
    {
      "ref": "lhagiimn/hubmap-efficient-sampling-deepflash2-sub-a8a",
      "title": "HuBMAP Efficient Sampling (deepflash2) [sub a8a]",
      "source": "live",
      "kernel_id": "16825984"
    },
    {
      "ref": "jaideepvalani/deepflash-updated-raster",
      "title": "deepflash_updated_raster",
      "source": "live",
      "kernel_id": "16814327"
    },
    {
      "ref": "jesusdon/kidney-train",
      "title": "kidney-train",
      "source": "live",
      "kernel_id": "16810714"
    },
    {
      "ref": "dannyelkallab/fork-of-hubmap-submission-experts-raster-i-o",
      "title": "Fork of HuBMAP - Submission Experts (Raster I/O + ",
      "source": "live",
      "kernel_id": "16799901"
    },
    {
      "ref": "kevin1742064161/seg-yolo-final-inference",
      "title": "seg&YOLO_final_inference",
      "source": "live",
      "kernel_id": "16797406"
    },
    {
      "ref": "liustrong/unext-train",
      "title": "UneXt_train",
      "source": "live",
      "kernel_id": "16795378"
    },
    {
      "ref": "liustrong/256x256-images-eda",
      "title": "256x256 images_EDA",
      "source": "live",
      "kernel_id": "16795215"
    },
    {
      "ref": "vedenev/for-judges",
      "title": "for_judges",
      "source": "live",
      "kernel_id": "16794813"
    },
    {
      "ref": "liustrong/submit",
      "title": "submit_",
      "source": "live",
      "kernel_id": "16794615"
    },
    {
      "ref": "shujun717/hubmap-3rd-place-inference",
      "title": "HuBMAP 3rd place (inference)",
      "source": "live",
      "kernel_id": "16786207"
    },
    {
      "ref": "simsonimus/hubmap-prediction",
      "title": "HuBMap - Prediction",
      "source": "live",
      "kernel_id": "16779953"
    },
    {
      "ref": "ridhiptharay/hubmap-hacking-the-kidney",
      "title": "HuBMAP - Hacking the Kidney",
      "source": "live",
      "kernel_id": "16762903"
    },
    {
      "ref": "vladimirgroza/fork-of-hubmap-submission-experts-raster-i-o-ve",
      "title": "Fork of HuBMAP - Submission Experts (Raster I/O ve",
      "source": "live",
      "kernel_id": "16694141"
    },
    {
      "ref": "matjes/hubmap-deepflash2-judge-price",
      "title": "HuBMAP deepflash2 [judge price]",
      "source": "live",
      "kernel_id": "16690544"
    },
    {
      "ref": "boyarintsev/make-answer-new",
      "title": "make_answer_new",
      "source": "live",
      "kernel_id": "16675239"
    },
    {
      "ref": "khoongweihao/hubmap-ensemble-tta-deepflash2",
      "title": "HuBMAP Ensemble + TTA (deepflash2)",
      "source": "live",
      "kernel_id": "16669930"
    },
    {
      "ref": "rezinchow/efficientnet-linknet-or-unet-07c90f",
      "title": "Efficientnet + Linknet or Unet 07c90f",
      "source": "live",
      "kernel_id": "16658323"
    },
    {
      "ref": "swar249/eda-hubmap",
      "title": "EDA_HuBMAP",
      "source": "live",
      "kernel_id": "16645509"
    },
    {
      "ref": "pushpalathamohith/hubmap-eda",
      "title": "HubMap_EDA",
      "source": "live",
      "kernel_id": "16638226"
    },
    {
      "ref": "matjes/hubmap-efficient-sampling-ii-deepflash2",
      "title": "HuBMAP Efficient Sampling II (deepflash2)",
      "source": "live",
      "kernel_id": "16608459"
    },
    {
      "ref": "nayuts/creating-mask-from-bbox-with-deepmac",
      "title": "Creating Mask from Bbox with DeepMAC",
      "source": "live",
      "kernel_id": "16588842"
    },
    {
      "ref": "kosukekita/simple-unet-with-pytorchlightning",
      "title": "simple_UNet_with_PytorchLightning",
      "source": "live",
      "kernel_id": "16547821"
    },
    {
      "ref": "fabiendaniel/submit-hubmap",
      "title": "submit_HUBMAP",
      "source": "live",
      "kernel_id": "16518170"
    },
    {
      "ref": "fabiendaniel/submit-layer1",
      "title": "submit_layer1",
      "source": "live",
      "kernel_id": "16517228"
    },
    {
      "ref": "durbin164/v2-hubmap-tf-with-multi-model-ensumble-sub",
      "title": "V2- HuBMAP: TF with Multi model ensumble[sub]",
      "source": "live",
      "kernel_id": "16480014"
    },
    {
      "ref": "something4kag/hubmap-and-portal-mapping",
      "title": "HuBMAP and Portal Mapping",
      "source": "live",
      "kernel_id": "16439776"
    },
    {
      "ref": "duylebku/training",
      "title": "Training",
      "source": "live",
      "kernel_id": "16402364"
    },
    {
      "ref": "pushpalathamohith/kaggle-hubmap",
      "title": "kaggle_hubmap",
      "source": "live",
      "kernel_id": "16394674"
    },
    {
      "ref": "snowballball/hubmap-submit1",
      "title": "HUBMAP_submit1",
      "source": "live",
      "kernel_id": "16386137"
    },
    {
      "ref": "durbin164/bce-dice-loss-with-soft-label-knowledge-distillati",
      "title": "BCE-DICE Loss with Soft Label/Knowledge Distillati",
      "source": "live",
      "kernel_id": "16355770"
    },
    {
      "ref": "qiuweimin1332499/hubmap-tf-with-tpu-efficientunet-256-tfrecord",
      "title": "HuBMAP: TF with TPU EfficientUNet 256 tfrecord",
      "source": "live",
      "kernel_id": "16331843"
    },
    {
      "ref": "simsonimus/hubmap-training",
      "title": "HuBMap - Training",
      "source": "live",
      "kernel_id": "16317710"
    },
    {
      "ref": "georgiikostiuchik/hubmap-exploratory-data-analysis",
      "title": "HuBMAP - Exploratory data analysis",
      "source": "live",
      "kernel_id": "16292980"
    },
    {
      "ref": "pratikkumar/hubmapdataset-sz480-window1024",
      "title": "hubmapDataset_sz480_window1024",
      "source": "live",
      "kernel_id": "16284428"
    },
    {
      "ref": "lililycai/infer-hubmap-deepflash2-bce",
      "title": "[infer]HuBMAP deepflash2 + BCE",
      "source": "live",
      "kernel_id": "16271353"
    },
    {
      "ref": "fabiendaniel/hubmap-model",
      "title": "HUBMAP_model",
      "source": "live",
      "kernel_id": "16266706"
    },
    {
      "ref": "fabiendaniel/submit-layer2",
      "title": "submit_Layer2",
      "source": "live",
      "kernel_id": "16265765"
    },
    {
      "ref": "fabiendaniel/hubmap-v2",
      "title": "Hubmap_v2",
      "source": "live",
      "kernel_id": "16264095"
    },
    {
      "ref": "ozanize/tf-records-hubmap",
      "title": "Tf Records HuBMAP",
      "source": "live",
      "kernel_id": "16256939"
    },
    {
      "ref": "drzhuzhe/ananlysis-predict",
      "title": "Ananlysis predict",
      "source": "live",
      "kernel_id": "16243093"
    },
    {
      "ref": "yashassanil/hubmap-new-tf-record-filtered",
      "title": "HuBMAP-new_tf-record_filtered",
      "source": "live",
      "kernel_id": "16226859"
    },
    {
      "ref": "yassinealouini/segmentation-model-using-semtorch",
      "title": "Segmentation model using SemTorch",
      "source": "live",
      "kernel_id": "16198040"
    },
    {
      "ref": "mountainking/hubmap-efficient-sampling-deepflash2",
      "title": "HuBMAP: Efficient Sampling (deepflash2)",
      "source": "live",
      "kernel_id": "16165148"
    },
    {
      "ref": "harshsharma511/one-stop-understanding-eda-efficientunet",
      "title": "ONE STOP: Understanding+EDA+EfficientUNet ",
      "source": "live",
      "kernel_id": "16158782"
    },
    {
      "ref": "sonya1/notebook6cbfe81637",
      "title": "notebook6cbfe81637",
      "source": "live",
      "kernel_id": "16147657"
    },
    {
      "ref": "mistag/hubmap-image-2-tfrecords-256-512-1024",
      "title": "HuBMAP Image 2 TFRecords 256,512,1024",
      "source": "live",
      "kernel_id": "16111699"
    },
    {
      "ref": "radadiyamohit/hubmap-efficient-sampling-deepflash2",
      "title": "HuBMAP: Efficient Sampling (deepflash2)",
      "source": "live",
      "kernel_id": "16106695"
    },
    {
      "ref": "drzhuzhe/hubmap-tf-with-tpu-efficientunet-256-tfrecord",
      "title": "HuBMAP: TF with TPU EfficientUNet 256 tfrecord",
      "source": "live",
      "kernel_id": "16104668"
    },
    {
      "ref": "sonya1/kidney-unet-model-keras-inference-9269a8",
      "title": "Kidney Unet model (keras) inference 9269a8",
      "source": "live",
      "kernel_id": "16090792"
    },
    {
      "ref": "tuniosuleman/hubmap-hacking-the-kidney-details",
      "title": "HuBMAP - Hacking the Kidney details",
      "source": "live",
      "kernel_id": "16080013"
    },
    {
      "ref": "adrofa/install-mahotas",
      "title": "install_mahotas",
      "source": "live",
      "kernel_id": "16072303"
    },
    {
      "ref": "southsakura/classifier",
      "title": "classifier",
      "source": "live",
      "kernel_id": "16068525"
    },
    {
      "ref": "adrofa/install-zarr",
      "title": "install_zarr",
      "source": "live",
      "kernel_id": "16065693"
    },
    {
      "ref": "adrofa/install-smp",
      "title": "install_smp",
      "source": "live",
      "kernel_id": "16065593"
    },
    {
      "ref": "mihalych/hubmap-tfrec-generation-with-border-2",
      "title": "HuBMAP: TFRec generation with border 2",
      "source": "live",
      "kernel_id": "16058331"
    },
    {
      "ref": "lhagiimn/hubmap-efficient-sampling-deepflash2",
      "title": "HuBMAP: Efficient Sampling (deepflash2)",
      "source": "live",
      "kernel_id": "16057249"
    },
    {
      "ref": "salazarslytherin/kidney-166",
      "title": "kidney-166",
      "source": "live",
      "kernel_id": "16048253"
    },
    {
      "ref": "rezinchow/hubmap-efficient-sampling-deepflash2-rezin",
      "title": "HuBMAP Efficient Sampling (deepflash2) -rezin",
      "source": "live",
      "kernel_id": "16043642"
    },
    {
      "ref": "barakhellman/hubmap-tf-with-tpu-efficientunet-512x512-train",
      "title": "HuBMAP: TF with TPU EfficientUNet 512x512[train]",
      "source": "live",
      "kernel_id": "16006740"
    },
    {
      "ref": "nikhilpandey360/hubmap-exploratory-data-analysis",
      "title": "HuBMAP - Exploratory Data Analysis",
      "source": "live",
      "kernel_id": "15995897"
    },
    {
      "ref": "benoitvignaud/submission-04-04",
      "title": "submission_04/04",
      "source": "live",
      "kernel_id": "15985953"
    },
    {
      "ref": "benoitvignaud/04-04",
      "title": "04/04",
      "source": "live",
      "kernel_id": "15977042"
    },
    {
      "ref": "takeajioka/hubmap-pytorch-blend-submission-pl",
      "title": "Hubmap_Pytorch_Blend_Submission_pl",
      "source": "live",
      "kernel_id": "15975253"
    },
    {
      "ref": "drzhuzhe/efficientnet-linknet-or-unet",
      "title": "Efficientnet + Linknet or Unet",
      "source": "live",
      "kernel_id": "15957769"
    },
    {
      "ref": "changewow/humap-submit-v1",
      "title": "humap-submit-v1",
      "source": "live",
      "kernel_id": "15947082"
    },
    {
      "ref": "sweft1/glomerulu-shape-eda",
      "title": "Glomerulu shape EDA",
      "source": "live",
      "kernel_id": "15943180"
    },
    {
      "ref": "shams1/kidney-1",
      "title": "kidney_1",
      "source": "live",
      "kernel_id": "15939939"
    },
    {
      "ref": "pppass/hubmap-pytorch-fast-ai-starter-sub-44b575",
      "title": "HuBMAP Pytorch/fast.ai starter sub 44b575",
      "source": "live",
      "kernel_id": "15918190"
    },
    {
      "ref": "tiandaye/hubmap-exp007-5folds",
      "title": "HuBMAP exp007_5folds",
      "source": "live",
      "kernel_id": "15907165"
    },
    {
      "ref": "kiranchaudharyy/hubmap-unet-effnetb4-ns-single-fold-infer",
      "title": "HuBMAP_Unet_EffNetB4_NS_Single_fold_infer",
      "source": "live",
      "kernel_id": "15897241"
    },
    {
      "ref": "pppass/fork-of-hubmap-pytorch-fast-ai-starter-sub-512sz-f",
      "title": "Fork of HuBMAP Pytorch/fast.ai starter sub-512sz-f",
      "source": "live",
      "kernel_id": "15892009"
    },
    {
      "ref": "pppass/hubmap-pytorch-fast-ai-starter-sub-512sz-fold012",
      "title": "HuBMAP Pytorch/fast.ai starter sub-512sz-fold012",
      "source": "live",
      "kernel_id": "15876771"
    },
    {
      "ref": "erikdali/biomedical-labeling-with-qupath",
      "title": "Biomedical Labeling with QuPath",
      "source": "live",
      "kernel_id": "15839162"
    },
    {
      "ref": "lhagiimn/kidney-unet-model-inference",
      "title": "Kidney Unet model inference",
      "source": "live",
      "kernel_id": "15804094"
    },
    {
      "ref": "elcaiseri/hubmap-pytorch-vit-segmentation-sub1",
      "title": "HuBMAP| Pytorch | ViT Segmentation [Sub1]",
      "source": "live",
      "kernel_id": "15803499"
    },
    {
      "ref": "cancan077/kc-hubmap",
      "title": "kc_HuBMAP",
      "source": "live",
      "kernel_id": "15798750"
    },
    {
      "ref": "takeajioka/hubmap-fastai-reduce2-1024-resnet101-elu",
      "title": "HuBMAP fastAI reduce2 1024 resnet101 elu",
      "source": "live",
      "kernel_id": "15798074"
    },
    {
      "ref": "luciusk/hubmap-general-submit",
      "title": "HuBMAP_general_submit",
      "source": "live",
      "kernel_id": "15783087"
    },
    {
      "ref": "elcaiseri/hubmap-pytorch-vit-segmentation-starter-train",
      "title": "HuBMAP| Pytorch | ViT Segmentation Starter [Train]",
      "source": "live",
      "kernel_id": "15781420"
    },
    {
      "ref": "jinssaa/hubmap-512-sam-unet-effb7",
      "title": "[HuBMAP] 512 SAM UNet-Effb7 ",
      "source": "live",
      "kernel_id": "15757408"
    },
    {
      "ref": "mahmudds/hubmap-hacking-the-kidney",
      "title": "HuBMAP - Hacking the Kidney",
      "source": "live",
      "kernel_id": "15716314"
    },
    {
      "ref": "durbin164/hubmap-tf-with-multiple-model-ensumble-sub",
      "title": "HuBMAP: TF with Multiple model ensumble[sub]",
      "source": "live",
      "kernel_id": "15700464"
    },
    {
      "ref": "thedatamonk/kaggle-hubmap-prediction-masks-visualisation",
      "title": "Kaggle HuBMAP Prediction Masks Visualisation",
      "source": "live",
      "kernel_id": "15652485"
    },
    {
      "ref": "kboroszko/datasequence-prepared-for-frcn",
      "title": "DataSequence prepared for FRCN",
      "source": "live",
      "kernel_id": "15652369"
    },
    {
      "ref": "zekunn/hubmap-new-with-tpu-512x512",
      "title": "HuBMAP: NEW with TPU 512x512",
      "source": "live",
      "kernel_id": "15633578"
    },
    {
      "ref": "rpsantosakaggle/hack-the-kidney-with-ai-segmentation-r-polygon",
      "title": "Hack the kidney with AI segmentation, R, Polygon",
      "source": "live",
      "kernel_id": "15610998"
    },
    {
      "ref": "shujun717/1024-reduce-4-images",
      "title": "1024 reduce=4 images",
      "source": "live",
      "kernel_id": "15580074"
    },
    {
      "ref": "dragonzhang/hubmap-sub-effunet5-tpu-efficientunet-512x512",
      "title": "HuBMAP SUB EffUNet5 + TPU EfficientUNet 512x512",
      "source": "live",
      "kernel_id": "15573868"
    },
    {
      "ref": "rishabhdev070/data-preparartion-hubmap",
      "title": "Data_Preparartion_HuBMAP ",
      "source": "live",
      "kernel_id": "15529894"
    },
    {
      "ref": "matjes/hubmap-efficient-sampling-deepflash2-sub",
      "title": "HuBMAP Efficient Sampling (deepflash2) [sub]",
      "source": "live",
      "kernel_id": "15520201"
    },
    {
      "ref": "raghaw/offline-install-segmentation-model-pytorch",
      "title": "Offline_install_segmentation_model_pytorch",
      "source": "live",
      "kernel_id": "15515828"
    },
    {
      "ref": "raghaw/download-segmentation-model-pytorch-packages",
      "title": "Download_segmentation_model_pytorch_packages",
      "source": "live",
      "kernel_id": "15515755"
    },
    {
      "ref": "matjes/hubmap-labels-pdf-0-5-0-25-0-01",
      "title": "hubmap_labels_pdf_0.5_0.25_0.01",
      "source": "live",
      "kernel_id": "15515515"
    },
    {
      "ref": "matjes/hubmap-anatomy-zarr",
      "title": "hubmap_anatomy_zarr",
      "source": "live",
      "kernel_id": "15513853"
    },
    {
      "ref": "taruntiwarihp/hubmap-hacking-the-kidney",
      "title": "HuBMAP - Hacking the Kidney",
      "source": "live",
      "kernel_id": "15510625"
    },
    {
      "ref": "matjes/hubmap-efficient-sampling-deepflash2-train",
      "title": "HuBMAP Efficient Sampling (deepflash2) [train]",
      "source": "live",
      "kernel_id": "15491403"
    },
    {
      "ref": "saurabhbagchi/hubmap-pytorch-with-changed-parameters",
      "title": "HuBMAP Pytorch with changed parameters",
      "source": "live",
      "kernel_id": "15484717"
    },
    {
      "ref": "tikutiku/hubmap-tilespadded-inference-v2",
      "title": "HuBMAP TilesPadded Inference V2",
      "source": "live",
      "kernel_id": "15460657"
    },
    {
      "ref": "markalavin/list-image-shapes",
      "title": "List Image Shapes",
      "source": "live",
      "kernel_id": "15452859"
    },
    {
      "ref": "kwk100/hubmap-exploratory-data-analysis-eda",
      "title": "HuBMAP - Exploratory Data Analysis (EDA)",
      "source": "live",
      "kernel_id": "15442864"
    },
    {
      "ref": "mistag/hubmap-quick-reference",
      "title": "HuBMAP Quick Reference",
      "source": "live",
      "kernel_id": "15436532"
    },
    {
      "ref": "ambitionkingo/submit-with-csv",
      "title": "submit with csv",
      "source": "live",
      "kernel_id": "15428344"
    },
    {
      "ref": "leahscherschel/updated-dataset-details",
      "title": "Updated Dataset Details",
      "source": "live",
      "kernel_id": "15385139"
    },
    {
      "ref": "rpsantosakaggle/r-notebook-handling-large-tiff-simple-python-in-r",
      "title": "R notebook handling large tiff/Simple Python in R",
      "source": "live",
      "kernel_id": "15369365"
    },
    {
      "ref": "nadeem07/hubmap-hacking-the-kidney",
      "title": "HuBMAP - Hacking the Kidney ",
      "source": "live",
      "kernel_id": "15363501"
    },
    {
      "ref": "hareem23/mask-shift-global",
      "title": "Mask _shift global",
      "source": "live",
      "kernel_id": "15362373"
    },
    {
      "ref": "sa2zoi/summary-hubmap-hacking-the-kidney",
      "title": "[Summary] HuBMAP-Hacking_the_kidney",
      "source": "live",
      "kernel_id": "15350289"
    },
    {
      "ref": "akshaya222/hubmap-tf-with-tpu-efficientunet-512x512-subm",
      "title": "HuBMAP: TF with TPU EfficientUNet 512x512[subm]",
      "source": "live",
      "kernel_id": "15314822"
    },
    {
      "ref": "matjes/hubmap-zarr",
      "title": "hubmap_zarr",
      "source": "live",
      "kernel_id": "15285495"
    },
    {
      "ref": "priteshraj10/tf-tpu-train",
      "title": "TF_TPU_(train)",
      "source": "live",
      "kernel_id": "15259175"
    },
    {
      "ref": "priteshraj10/tf-tpu-tfrecs",
      "title": "TF_TPU_tfrecs",
      "source": "live",
      "kernel_id": "15253982"
    },
    {
      "ref": "priteshraj10/pytorchfcn-resnet50",
      "title": "PytorchFCN_Resnet50",
      "source": "live",
      "kernel_id": "15244691"
    },
    {
      "ref": "yassinealouini/all-the-segmentation-metrics",
      "title": "All the segmentation metrics!",
      "source": "live",
      "kernel_id": "15179880"
    },
    {
      "ref": "nihadtp/kidney-hacking-exploration-stage",
      "title": "Kidney Hacking - Exploration stage",
      "source": "live",
      "kernel_id": "15170115"
    },
    {
      "ref": "roydatascience/hubmap-sub-effunet5-tpu-efficientunet-512x512",
      "title": "HuBMAP SUB EffUNet5 + TPU EfficientUNet 512x512",
      "source": "live",
      "kernel_id": "15163558"
    },
    {
      "ref": "arpitjoshi333/hubmap-firstview",
      "title": "HuBMAP_firstView",
      "source": "live",
      "kernel_id": "15155803"
    },
    {
      "ref": "thekalkulator/hacking-the-kidney-displaying-a-polygon",
      "title": "Hacking the Kidney: Displaying a Polygon",
      "source": "live",
      "kernel_id": "15048249"
    },
    {
      "ref": "markalavin/train-with-overlapping-tiles-from-normalized-image",
      "title": "Train with Overlapping Tiles from Normalized Image",
      "source": "live",
      "kernel_id": "14998643"
    },
    {
      "ref": "romanstatkevych/hubmap-unet",
      "title": "HUBMAP - UNET",
      "source": "live",
      "kernel_id": "14987978"
    },
    {
      "ref": "woosungjangyai/allpipeline-practice",
      "title": "AllPipeLine_Practice",
      "source": "live",
      "kernel_id": "14973996"
    },
    {
      "ref": "markalavin/tile-images-save-in-tfrecord-files",
      "title": "Tile Images, Save In TFRecord Files",
      "source": "live",
      "kernel_id": "14970975"
    },
    {
      "ref": "markalavin/imread-vs-rasterio",
      "title": "imread vs. rasterio",
      "source": "live",
      "kernel_id": "14960539"
    },
    {
      "ref": "sumitai/hubmap-kidney-segmentation",
      "title": "hubmap kidney segmentation ",
      "source": "live",
      "kernel_id": "14959433"
    },
    {
      "ref": "gilfernandes/pytorch-unet-efficientnet-b6-1024-2shifted-slices",
      "title": "pytorch_unet_efficientnet_b6_1024_2shifted_slices",
      "source": "live",
      "kernel_id": "14958894"
    },
    {
      "ref": "hhyun2/hubmap-pytorch-gpu-training",
      "title": "HuBMAP Pytorch GPU Training",
      "source": "live",
      "kernel_id": "14904862"
    },
    {
      "ref": "graafffff/notebook-b98819303",
      "title": "notebook b98819303",
      "source": "live",
      "kernel_id": "14813405"
    },
    {
      "ref": "adudp007/loading-tiff-image-to-numpy-array",
      "title": "Loading tiff image to numpy array",
      "source": "live",
      "kernel_id": "14801054"
    },
    {
      "ref": "ghaiyur/hubmap-segmentation",
      "title": "hubmap-segmentation",
      "source": "live",
      "kernel_id": "14767053"
    },
    {
      "ref": "markalavin/hubmap-validate-against-training-set",
      "title": "HuBMAP:  Validate Against Training Set",
      "source": "live",
      "kernel_id": "14759323"
    },
    {
      "ref": "graafffff/fork-of-unet-baseline-train-5398d9",
      "title": "Fork of UNet [baseline train]  5398d9",
      "source": "live",
      "kernel_id": "14745461"
    },
    {
      "ref": "yash88/hubmap-tf-with-tpu-efficientunet-512x512-subm",
      "title": "HuBMAP: TF with TPU EfficientUNet 512x512[subm]",
      "source": "live",
      "kernel_id": "14726532"
    },
    {
      "ref": "philipjamessullivan/p-sullivan-2-train-network",
      "title": "(P. Sullivan) 2: train network",
      "source": "live",
      "kernel_id": "14711051"
    },
    {
      "ref": "graafffff/fork-of-sub-no-code",
      "title": "Fork of sub_no_code",
      "source": "live",
      "kernel_id": "14704295"
    },
    {
      "ref": "tachyon777/hubmap-tachyon-classifier-v1",
      "title": "HuBMAP_tachyon_classifier_v1",
      "source": "live",
      "kernel_id": "14541898"
    },
    {
      "ref": "alinaherderich/submisson-alina-resnet34-v2",
      "title": "submisson alina resnet34 v2",
      "source": "live",
      "kernel_id": "14522401"
    },
    {
      "ref": "atharvahude/256unet",
      "title": "256Unet",
      "source": "live",
      "kernel_id": "14494275"
    },
    {
      "ref": "mpware/masks-quick-eda-updated-data",
      "title": "Masks - Quick EDA - Updated data",
      "source": "live",
      "kernel_id": "14493444"
    },
    {
      "ref": "markalavin/hubmap-visualize-and-analyze-results",
      "title": "HuBMAP:  Visualize and Analyze Results",
      "source": "live",
      "kernel_id": "14471714"
    },
    {
      "ref": "martinjpage/image-segmentation-using-unet-tfrecords",
      "title": "Image Segmentation Using UNet +TFRecords",
      "source": "live",
      "kernel_id": "14470057"
    },
    {
      "ref": "muhammadvaliallah/image-segmentation-using-unet-tfrecords",
      "title": "Image Segmentation Using UNet +TFRecords",
      "source": "live",
      "kernel_id": "14459346"
    },
    {
      "ref": "richardzy/faster-way-to-get-result",
      "title": "Faster way to get result",
      "source": "live",
      "kernel_id": "14444745"
    },
    {
      "ref": "japandata509/how-to-analyze-leaderboard-easily",
      "title": "How to Analyze Leaderboard Easily?",
      "source": "live",
      "kernel_id": "14437027"
    },
    {
      "ref": "shubhi99/create-test-tfrecords",
      "title": "create_test_tfrecords",
      "source": "live",
      "kernel_id": "14428256"
    },
    {
      "ref": "shubhi99/test-submissioon",
      "title": "test_submissioon",
      "source": "live",
      "kernel_id": "14425715"
    },
    {
      "ref": "mehmetokuyar/unet-dice-coefficient-hubmap",
      "title": "Unet (dice_coefficient) - HubMap",
      "source": "live",
      "kernel_id": "14424301"
    },
    {
      "ref": "alinaherderich/notebook4ca5c6eb1c",
      "title": "notebook4ca5c6eb1c",
      "source": "live",
      "kernel_id": "14410306"
    },
    {
      "ref": "shubhi99/model-train",
      "title": "model_train",
      "source": "live",
      "kernel_id": "14388459"
    },
    {
      "ref": "marioinnerkofler/tu-graz-hubmap-1-image-exploration",
      "title": "tu graz- hubmap 1 - image exploration",
      "source": "live",
      "kernel_id": "14372262"
    },
    {
      "ref": "philipjamessullivan/p-sullivan-1-overview-visualization",
      "title": "(P.Sullivan) 1:overview & visualization",
      "source": "live",
      "kernel_id": "14355681"
    },
    {
      "ref": "koh12345/hubmap-submission",
      "title": "HubMap_submission",
      "source": "live",
      "kernel_id": "14332856"
    },
    {
      "ref": "alinaherderich/whoop-hub-data-preprocessing",
      "title": "Whoop-HuB: Data Preprocessing",
      "source": "live",
      "kernel_id": "14304143"
    },
    {
      "ref": "pranshu15/effunet",
      "title": "EffUNet",
      "source": "live",
      "kernel_id": "14250850"
    },
    {
      "ref": "saurabhbagchi/ensemble-model-notebook-wip",
      "title": "Ensemble model notebook - WIP",
      "source": "live",
      "kernel_id": "14222428"
    },
    {
      "ref": "markalavin/hubmap-tf-with-tpu-efficientunet-512x512-s-55c7ec",
      "title": "HuBMAP: TF with TPU EfficientUNet 512x512[s 55c7ec",
      "source": "live",
      "kernel_id": "14215549"
    },
    {
      "ref": "alinaherderich/iafoss-512x512",
      "title": "iafoss 512x512",
      "source": "live",
      "kernel_id": "14207885"
    },
    {
      "ref": "kamaljain77/hubmap-kidney-eda",
      "title": "HuBMAP - Kidney (EDA)",
      "source": "live",
      "kernel_id": "14180459"
    },
    {
      "ref": "rpsantosakaggle/finally-first-notebook-in-r-u-net",
      "title": "Finally, first notebook in R,  U-NET",
      "source": "live",
      "kernel_id": "14178043"
    },
    {
      "ref": "yeayates21/hubmap-make-grid-function-explained",
      "title": "[HuBMAP] make_grid Function Explained",
      "source": "live",
      "kernel_id": "14174310"
    },
    {
      "ref": "priscilliaprevitero/hubmap-performance-analysis",
      "title": "HubMap  : Performance analysis",
      "source": "live",
      "kernel_id": "14138751"
    },
    {
      "ref": "cosminalexandru/notebook25085ffb89",
      "title": "notebook25085ffb89",
      "source": "live",
      "kernel_id": "14137599"
    },
    {
      "ref": "rpsantosakaggle/unet-carvana",
      "title": "unet carvana",
      "source": "live",
      "kernel_id": "14134236"
    },
    {
      "ref": "wrrosa/hubmap-tf-with-tpu-efficientunet-512x512-tfrecs",
      "title": "HuBMAP: TF with TPU EfficientUNet 512x512[tfrecs]",
      "source": "live",
      "kernel_id": "14085052"
    },
    {
      "ref": "evodswdy/resunet-icip-01112137",
      "title": "resunet-icip-01112137",
      "source": "live",
      "kernel_id": "14071384"
    },
    {
      "ref": "homiarafarhana/mnist-cnn",
      "title": "MNIST_CNN",
      "source": "live",
      "kernel_id": "14051814"
    },
    {
      "ref": "prvnkmr/unet-architecture-breakdown",
      "title": "UNet Architecture Breakdown",
      "source": "live",
      "kernel_id": "14045357"
    },
    {
      "ref": "yeayates21/hubmap-rle-numba-function-explained",
      "title": "[HuBMAP] rle_numba Function Explained",
      "source": "live",
      "kernel_id": "14042842"
    },
    {
      "ref": "rajansharma780/hubmap-overview",
      "title": "HuBMAP-Overview",
      "source": "live",
      "kernel_id": "14036153"
    },
    {
      "ref": "nishathussain/256x256-images",
      "title": "256x256 images",
      "source": "live",
      "kernel_id": "14034324"
    },
    {
      "ref": "prvnkmr/concise-eda-and-viz-hubmap",
      "title": "Concise EDA and Viz | HuBMAP",
      "source": "live",
      "kernel_id": "14025805"
    },
    {
      "ref": "easara/hubmap-visualize-mask-bbox",
      "title": "HuBMAP - Visualize Mask & BBOX 📈",
      "source": "live",
      "kernel_id": "14015067"
    },
    {
      "ref": "homiarafarhana/global-mask-shift",
      "title": "Global Mask Shift",
      "source": "live",
      "kernel_id": "14014261"
    },
    {
      "ref": "arunmohan003/more-256x256-train-data-using-overlaping-windows",
      "title": "More 256x256 train data using overlaping windows",
      "source": "live",
      "kernel_id": "13998921"
    },
    {
      "ref": "prvnkmr/better-understanding-of-the-problem-statement",
      "title": "Better understanding of the problem statement",
      "source": "live",
      "kernel_id": "13988655"
    },
    {
      "ref": "davidkici/hubmap-tf-with-tpu-efficientunet-512x512-train",
      "title": "HuBMAP: TF with TPU EfficientUNet 512x512[train]",
      "source": "live",
      "kernel_id": "13981971"
    },
    {
      "ref": "mistag/inference-hubmap-fpn-single-model-ii",
      "title": "[inference] HuBMAP FPN Single Model II",
      "source": "live",
      "kernel_id": "13976904"
    },
    {
      "ref": "divyanshuyadav/inference-hubmap-fpn-single-model-segmentation",
      "title": "[inference] HuBMAP FPN Single Model Segmentation",
      "source": "live",
      "kernel_id": "13969052"
    },
    {
      "ref": "zhouwenqi/pytorch-fcn-resnet50-in-20-minute",
      "title": "Pytorch FCN-Resnet50 in 20 minute",
      "source": "live",
      "kernel_id": "13937823"
    },
    {
      "ref": "anadelta/glomeruli-analysis-annotations-visualization",
      "title": "Glomeruli analysis + Annotations visualization",
      "source": "live",
      "kernel_id": "13924035"
    },
    {
      "ref": "tivfrvqhs5/global-mask-shift",
      "title": "Global Mask Shift",
      "source": "live",
      "kernel_id": "13888768"
    },
    {
      "ref": "sumitjha19/densenet121unet-inference",
      "title": "Densenet121Unet Inference",
      "source": "live",
      "kernel_id": "13883484"
    },
    {
      "ref": "mistag/inference-hubmap-fpn-single-model-segmentation",
      "title": "[inference] HuBMAP FPN Single Model Segmentation",
      "source": "live",
      "kernel_id": "13877484"
    },
    {
      "ref": "meowyc/hubmap-check-test-pred",
      "title": "HuBMAP_check_test_pred",
      "source": "live",
      "kernel_id": "13877456"
    },
    {
      "ref": "zekunn/hubmap-tf-with-tpu-efficientunet-512x512-subm",
      "title": "HuBMAP: TF with TPU EfficientUNet 512x512[subm]",
      "source": "live",
      "kernel_id": "13827524"
    },
    {
      "ref": "zehuigong/hubmap-submission-withcsv",
      "title": "HuBMAP_submission_withcsv",
      "source": "live",
      "kernel_id": "13825643"
    },
    {
      "ref": "homiarafarhana/2nd-sub-effunet5-0-845-4983e4",
      "title": "2nd_ SUB EffUNet5 -0.845!  4983e4",
      "source": "live",
      "kernel_id": "13816184"
    },
    {
      "ref": "rsingh99/parallel-reverse-attention-network-for-polyp-segm",
      "title": " Parallel Reverse Attention Network for Polyp Segm",
      "source": "live",
      "kernel_id": "13815239"
    },
    {
      "ref": "ckanth090/hubmap-dataset-generator",
      "title": "HuBMAP - Dataset Generator",
      "source": "live",
      "kernel_id": "13813034"
    },
    {
      "ref": "zehuigong/test-pt",
      "title": "test_pt",
      "source": "live",
      "kernel_id": "13790111"
    },
    {
      "ref": "lincolnge/trained-model-to-submit",
      "title": "trained_model_to_submit",
      "source": "live",
      "kernel_id": "13786246"
    },
    {
      "ref": "shivangigarg160997/hubmap-eda",
      "title": "HuBMAP_EDA",
      "source": "live",
      "kernel_id": "13779276"
    },
    {
      "ref": "yerramvarun/understanding-dice-coefficient",
      "title": "Understanding DICE COEFFICIENT",
      "source": "live",
      "kernel_id": "13772033"
    },
    {
      "ref": "franoisponchon/fpo-hubmap-unet-inference-singleimage",
      "title": "[FPO] HubMAP-UNet Inference (SingleImage)",
      "source": "live",
      "kernel_id": "13755071"
    },
    {
      "ref": "sumitjha19/pix2pixgan-generating-kidney-glomeruli",
      "title": "Pix2PixGan- generating Kidney Glomeruli",
      "source": "live",
      "kernel_id": "13753287"
    },
    {
      "ref": "keremt/hubmap-fast-submission",
      "title": "HuBMAP Fast Submission",
      "source": "live",
      "kernel_id": "13748235"
    },
    {
      "ref": "ckanth090/hubmap-visualize-mask-bbox",
      "title": "HuBMAP - Visualize Mask & BBOX 📈",
      "source": "live",
      "kernel_id": "13747975"
    },
    {
      "ref": "arunmohan003/hubmap-inference-pytorch",
      "title": "HuBMAP-Inference-Pytorch",
      "source": "live",
      "kernel_id": "13706224"
    },
    {
      "ref": "markalavin/hubmap-tile-images-w-overlap-and-build-tfrecords",
      "title": "HuBMap: Tile images w/ overlap and build TFRecords",
      "source": "live",
      "kernel_id": "13687227"
    },
    {
      "ref": "zichengliu0226/pranet-hubmap",
      "title": "PraNet-HuBMAP",
      "source": "live",
      "kernel_id": "13675899"
    },
    {
      "ref": "curiosity806/hubmap-two-stage-to-more-accurate-inference",
      "title": "[HuBMAP] Two stage to more accurate inference",
      "source": "live",
      "kernel_id": "13656764"
    },
    {
      "ref": "shilei2403/baseline-imp1219",
      "title": "baseline-imp1219",
      "source": "live",
      "kernel_id": "13630436"
    },
    {
      "ref": "mistag/data-hubmap-image-2-tfrecords-256-512-1024",
      "title": "[data] HuBMAP Image 2 TFRecords 256,512,1024",
      "source": "live",
      "kernel_id": "13623021"
    },
    {
      "ref": "hebishi/segmentation-models-pytorch-offline",
      "title": "segmentation-models-pytorch Offline",
      "source": "live",
      "kernel_id": "13616228"
    },
    {
      "ref": "kool777/training-hubmap-tf-keras-with-tfrecord-tpu",
      "title": "[Training] HuBMAP TF-Keras with Tfrecord [TPU]",
      "source": "live",
      "kernel_id": "13556370"
    },
    {
      "ref": "friedchips/fully-correct-hubmap-rle-encoding-and-decoding",
      "title": "Fully correct HuBMAP RLE Encoding and Decoding",
      "source": "live",
      "kernel_id": "13555573"
    },
    {
      "ref": "finlay/unet-example",
      "title": "UNet-Example",
      "source": "live",
      "kernel_id": "13555139"
    },
    {
      "ref": "bitcrunch/pretrained-sub-effunet5-0-845",
      "title": "Pretrained  SUB EffUNet5 -0.845! ",
      "source": "live",
      "kernel_id": "13500816"
    },
    {
      "ref": "finlay/csv-write-for-fast-public-score",
      "title": "CSV write for fast Public Score",
      "source": "live",
      "kernel_id": "13487857"
    },
    {
      "ref": "isakev/hub-tf-tpu-valloss-pretrain-effunet5-lr1e-3-ml0-35",
      "title": "hub TF TPU valloss pretrain EffUNet5 lr1e-3_ml0.35",
      "source": "live",
      "kernel_id": "13487552"
    },
    {
      "ref": "sreevishnudamodaran/resume-tpu-keras-training-for-large-models",
      "title": "Resume TPU Keras Training for Large Models",
      "source": "live",
      "kernel_id": "13483348"
    },
    {
      "ref": "firstofhisname/hubmap",
      "title": "HuBMAP",
      "source": "live",
      "kernel_id": "13480819"
    },
    {
      "ref": "shilei2403/pytorch-fcn-resnet50-in-20-minute",
      "title": "Pytorch FCN-Resnet50 in 20 minute",
      "source": "live",
      "kernel_id": "13461299"
    },
    {
      "ref": "keremt/hubmap-fastai-baseline-8-fold-training",
      "title": "HuBMAP Fastai Baseline 8 Fold Training",
      "source": "live",
      "kernel_id": "13437623"
    },
    {
      "ref": "rosuluc/error-analysis",
      "title": "error analysis",
      "source": "live",
      "kernel_id": "13428693"
    },
    {
      "ref": "zhkuo24/pytorch-fcn-resnet50-in-20-minute",
      "title": "Pytorch FCN-Resnet50 in 20 minute",
      "source": "live",
      "kernel_id": "13427934"
    },
    {
      "ref": "joelsjoyt/hubmap-let-s-experiment",
      "title": "HubMAp - Let's Experiment",
      "source": "live",
      "kernel_id": "13423844"
    },
    {
      "ref": "joshi98kishan/let-s-understand-tta-in-segmentation",
      "title": "Let's Understand TTA in Segmentation",
      "source": "live",
      "kernel_id": "13422412"
    },
    {
      "ref": "jianguolin/notebook",
      "title": "notebook",
      "source": "live",
      "kernel_id": "13407632"
    },
    {
      "ref": "joshi98kishan/inference-pytorch-tta-sub-0-84",
      "title": "[Inference] PyTorch-TTA-Sub-0.84",
      "source": "live",
      "kernel_id": "13404065"
    },
    {
      "ref": "wrrosa/hubmap-tf-with-tpu-efficientunet-512x512-subm",
      "title": "HuBMAP: TF with TPU EfficientUNet 512x512[subm]",
      "source": "live",
      "kernel_id": "13399114"
    },
    {
      "ref": "antonio5444/pytorch-with-training",
      "title": "Pytorch with training",
      "source": "live",
      "kernel_id": "13389622"
    },
    {
      "ref": "haphamtv/pytorch-smp-unet",
      "title": "Pytorch SMP Unet",
      "source": "live",
      "kernel_id": "13382642"
    },
    {
      "ref": "sreevishnudamodaran/tpu-hubmap-double-u-net-model-augmentation",
      "title": "[TPU] HubMAP Double U-Net Model + Augmentation",
      "source": "live",
      "kernel_id": "13345586"
    },
    {
      "ref": "curiosity806/hubmap-private-predict-mask-of-512-512-images",
      "title": "[HuBMAP]private predict mask of 512_512 images",
      "source": "live",
      "kernel_id": "13339990"
    },
    {
      "ref": "mohityadav426/notebook0f0b9984bf",
      "title": "notebook0f0b9984bf",
      "source": "live",
      "kernel_id": "13336099"
    },
    {
      "ref": "tachyon777/hubmap-tachyon-dataaugmentation-examples",
      "title": "HuBMAP_tachyon_DataAugmentation_Examples[日本語]",
      "source": "live",
      "kernel_id": "13299200"
    },
    {
      "ref": "kazakan/hubmap-messy-notebook",
      "title": "[HubMap] Messy notebook ",
      "source": "live",
      "kernel_id": "13295731"
    },
    {
      "ref": "vgarshin/kidney-unet-model-keras-inference",
      "title": "Kidney Unet model (keras) inference",
      "source": "live",
      "kernel_id": "13292572"
    },
    {
      "ref": "finlay/pytorch-unet-resnet50-in-20-minute",
      "title": "Pytorch Unet-Resnet50 in 20 minute",
      "source": "live",
      "kernel_id": "13274664"
    },
    {
      "ref": "antonio5444/hubmap-pytorch-smp-unet-inference",
      "title": "HuBMAP - Pytorch smp Unet++ Inference",
      "source": "live",
      "kernel_id": "13272168"
    },
    {
      "ref": "ayuraj/hubmap-tf-with-tpu-efficientunetb7-512x512-train",
      "title": "HuBMAP: TF with TPU EfficientUNetB7 512x512[Train]",
      "source": "live",
      "kernel_id": "13269604"
    },
    {
      "ref": "igor14497/making-a-successful-submission",
      "title": "Making a successful submission",
      "source": "live",
      "kernel_id": "13268253"
    },
    {
      "ref": "wrrosa/hubmap-tf-with-tpu-efficientunet-512x512-train",
      "title": "HuBMAP: TF with TPU EfficientUNet 512x512[train]",
      "source": "live",
      "kernel_id": "13262382"
    },
    {
      "ref": "dxchen/public-submission-only-fastest",
      "title": "public-submission-only [fastest]",
      "source": "live",
      "kernel_id": "13260417"
    },
    {
      "ref": "msafi04/hacking-the-kidney-by-segmentation",
      "title": "Hacking the Kidney by Segmentation",
      "source": "live",
      "kernel_id": "13255591"
    },
    {
      "ref": "itsuki9180/hubmap-gpu-inference-phase",
      "title": "HUBMAP GPU Inference Phase",
      "source": "live",
      "kernel_id": "13253190"
    },
    {
      "ref": "jaddiabdelaziz/visualize-data-train-unet-and-viz-predicted-mask",
      "title": " Visualize data,Train UNet and viz predicted mask",
      "source": "live",
      "kernel_id": "13249230"
    },
    {
      "ref": "mistag/inference-hubmap-u-net-mobilenetv2-256x256",
      "title": "[inference] HuBMAP U-Net+MobileNetV2 256x256",
      "source": "live",
      "kernel_id": "13247547"
    },
    {
      "ref": "mistag/train-keras-u-net-mobilenetv2",
      "title": "[train] Keras U-Net+MobileNetV2",
      "source": "live",
      "kernel_id": "13246965"
    },
    {
      "ref": "finlay/pytorch-fcn-resnet50-in-20-minute",
      "title": "Pytorch FCN-Resnet50 in 20 minute",
      "source": "live",
      "kernel_id": "13231978"
    },
    {
      "ref": "itsuki9180/hubmap-tpu-train-phase",
      "title": "HUBMAP TPU Train Phase",
      "source": "live",
      "kernel_id": "13216516"
    },
    {
      "ref": "itsuki9180/make-tfrecords-of-512x512-or-other-tiles",
      "title": "Make Tfrecords of 512x512 or other tiles",
      "source": "live",
      "kernel_id": "13214238"
    },
    {
      "ref": "yimyukei/train-transform",
      "title": "Train-Transform",
      "source": "live",
      "kernel_id": "13210261"
    },
    {
      "ref": "mariazorkaltseva/hubmap-seresnext50-unet-dice-loss",
      "title": "HuBMAP: SeResNext50, UNET, dice_loss",
      "source": "live",
      "kernel_id": "13191266"
    },
    {
      "ref": "sdeagggg/install-smp-without-internet",
      "title": "install smp without internet",
      "source": "live",
      "kernel_id": "13190166"
    },
    {
      "ref": "nayuts/hubmap-pytorch-smp-unet-inference",
      "title": "HuBMAP - Pytorch smp Unet++ Inference",
      "source": "live",
      "kernel_id": "13187520"
    },
    {
      "ref": "uhmarty/martin-hacking-the-kidney",
      "title": "Martin_Hacking the kidney",
      "source": "live",
      "kernel_id": "13186607"
    },
    {
      "ref": "yukkyo/using-pyvips-without-internet",
      "title": "Using Pyvips without internet",
      "source": "live",
      "kernel_id": "13180750"
    },
    {
      "ref": "curiosity806/hubmap-use-catalyst-smp-and-albumentations",
      "title": "[HuBMAP]use catalyst, smp, and albumentations",
      "source": "live",
      "kernel_id": "13162197"
    },
    {
      "ref": "mistag/inference-hubmap-u-net-512x512",
      "title": "[inference] HuBMAP U-Net 512x512",
      "source": "live",
      "kernel_id": "13154843"
    },
    {
      "ref": "realc9der/mask2rle",
      "title": "mask2rle",
      "source": "live",
      "kernel_id": "13143322"
    },
    {
      "ref": "ayadiamira/hubmap-an-introduction",
      "title": "HuBMAP: An introduction",
      "source": "live",
      "kernel_id": "13115832"
    },
    {
      "ref": "kiruganko/hubmap-eda",
      "title": "HuBMAP - EDA",
      "source": "live",
      "kernel_id": "13115411"
    },
    {
      "ref": "hammadghulammustafa/hubmap-hacking-the-kidney-eda",
      "title": "HuBMAP - Hacking The Kidney - EDA",
      "source": "live",
      "kernel_id": "13106743"
    },
    {
      "ref": "purplejester/showing-samples-with-segmentation-mask-overlay",
      "title": "Showing Samples with Segmentation Mask Overlay",
      "source": "live",
      "kernel_id": "13104981"
    },
    {
      "ref": "fanbyprinciple/hubmap-iafoss-combined-fastai",
      "title": "Hubmap iafoss combined fastai",
      "source": "live",
      "kernel_id": "13070473"
    },
    {
      "ref": "mistag/train-keras-u-net-with-tfrecords-input",
      "title": "[train] Keras U-Net with TFRecords input",
      "source": "live",
      "kernel_id": "13063612"
    },
    {
      "ref": "sdeagggg/hubmap-fast-ai-starter-efficientnet",
      "title": "HuBMAP fast.ai starter (EfficientNet)",
      "source": "live",
      "kernel_id": "13053166"
    },
    {
      "ref": "rikozhushko/hubmap-memory-efficient-submission-using-disk",
      "title": "HuBMAP: Memory Efficient Submission using disk",
      "source": "live",
      "kernel_id": "13050274"
    },
    {
      "ref": "joshi98kishan/foldtraining-pytorch-tpu-8-cores",
      "title": "[FoldTraining] PyTorch-TPU🔥-8-Cores",
      "source": "live",
      "kernel_id": "13038820"
    },
    {
      "ref": "nayuts/hubmap-pytorch-smp-unet",
      "title": "HuBMAP - Pytorch smp Unet++",
      "source": "live",
      "kernel_id": "13032374"
    },
    {
      "ref": "mistag/data-hubmap-tif-2-jpg-tfrecords-128-256-512-1024",
      "title": "[data] HuBMAP TIF 2 JPG+TFRecords 128,256,512,1024",
      "source": "live",
      "kernel_id": "13031829"
    },
    {
      "ref": "hypocrites/hubmap-sm-unet-256x256",
      "title": "HuBMAP-SM-UNET-256x256",
      "source": "live",
      "kernel_id": "13014716"
    },
    {
      "ref": "marcosnovaes/hubmap-building-datasets-for-tpus",
      "title": "HubMAP: Building Datasets for TPUs",
      "source": "live",
      "kernel_id": "13009796"
    },
    {
      "ref": "vineeth1999/hubmap-pytorch-efficientunet-offline",
      "title": "HuBMAP Pytorch EfficientUNet Offline ",
      "source": "live",
      "kernel_id": "13008155"
    },
    {
      "ref": "marcosnovaes/hubmap-memory-efficient-submission-using-disk",
      "title": "HuBMAP: Memory Efficient Submission using disk",
      "source": "live",
      "kernel_id": "13005989"
    },
    {
      "ref": "xhlulu/efficient-mask2rle",
      "title": "Efficient mask2rle",
      "source": "live",
      "kernel_id": "13002527"
    },
    {
      "ref": "mariazorkaltseva/hubmap-train-test-patches-generation",
      "title": "HuBMAP: train/test patches generation",
      "source": "live",
      "kernel_id": "13002402"
    },
    {
      "ref": "polomarco/run-length-encoding-for-full-size-images",
      "title": "Run-length Encoding for Full-Size Images",
      "source": "live",
      "kernel_id": "12997173"
    },
    {
      "ref": "marcosnovaes/hubmap-unet-keras-model-fit-with-gpu",
      "title": "HuBMAP: Unet Keras model.fit with GPU",
      "source": "live",
      "kernel_id": "12987026"
    },
    {
      "ref": "marcosnovaes/hubmap-unet-keras-model-fit-with-tpu",
      "title": "HuBMAP: Unet Keras model.fit with TPU",
      "source": "live",
      "kernel_id": "12986885"
    },
    {
      "ref": "iafoss/hubmap-pytorch-fast-ai-starter-sub",
      "title": "HuBMAP Pytorch/fast.ai starter sub",
      "source": "live",
      "kernel_id": "12980793"
    },
    {
      "ref": "hiramcho/hubmap-keras-augmentation-layers",
      "title": "HuBMAP: Keras Augmentation Layers",
      "source": "live",
      "kernel_id": "12978723"
    },
    {
      "ref": "hirune924/fast-image-region-loading-using-pyvips",
      "title": "Fast image region loading using Pyvips",
      "source": "live",
      "kernel_id": "12977242"
    },
    {
      "ref": "alincijov/kidney-segmentation-starter-notebook",
      "title": "Kidney Segmentation Starter Notebook",
      "source": "live",
      "kernel_id": "12976413"
    },
    {
      "ref": "bguberfain/memory-aware-rle-encoding",
      "title": "Memory-aware RLE encoding",
      "source": "live",
      "kernel_id": "12975764"
    },
    {
      "ref": "domizianostingi/easy-plot-of-kidney-and-mask",
      "title": "easy plot of kidney and mask  ",
      "source": "live",
      "kernel_id": "12972901"
    },
    {
      "ref": "realc9der/train-data-edit-and-run",
      "title": "Train_data_edit_and_run",
      "source": "live",
      "kernel_id": "12972380"
    },
    {
      "ref": "iafoss/hubmap-pytorch-fast-ai-starter",
      "title": "HuBMAP Pytorch/fast.ai starter",
      "source": "live",
      "kernel_id": "12968298"
    },
    {
      "ref": "noelmat/eda-understanding-the-data",
      "title": "EDA | Understanding the data",
      "source": "live",
      "kernel_id": "12965510"
    },
    {
      "ref": "zero00/selecting-training-area",
      "title": "Selecting Training Area",
      "source": "live",
      "kernel_id": "12964628"
    },
    {
      "ref": "purplejester/reading-tiff-images-with-python",
      "title": "Reading TIFF Images with Python",
      "source": "live",
      "kernel_id": "12963361"
    },
    {
      "ref": "bowaka/hubmap-exploration-the-big-picture",
      "title": "HuBMAP - Exploration - The BIG picture",
      "source": "live",
      "kernel_id": "12958384"
    },
    {
      "ref": "joshi98kishan/hubmap-keras-pipeline-training-inference",
      "title": "[HuBMAP] Keras-Pipeline (Training+Inference)",
      "source": "live",
      "kernel_id": "12954560"
    },
    {
      "ref": "leighplt/pytorch-fcn-resnet50",
      "title": "Pytorch FCN-Resnet50",
      "source": "live",
      "kernel_id": "12951706"
    },
    {
      "ref": "tiandaye/unet-baseline-train",
      "title": "UNet [baseline train] ",
      "source": "live",
      "kernel_id": "12947186"
    },
    {
      "ref": "polomarco/hubmap-eda-efficientnetunet-training-baseline",
      "title": "HuBMAP | EDA | EfficientnetUnet Training Baseline",
      "source": "live",
      "kernel_id": "12944659"
    },
    {
      "ref": "gpreda/read-json-data",
      "title": "Read JSON Data",
      "source": "live",
      "kernel_id": "12944219"
    },
    {
      "ref": "marcosnovaes/hubmap-3-unet-models-with-keras-cpu-gpu",
      "title": "HuBMAP: 3 Unet Models with Keras (CPU/GPU)",
      "source": "live",
      "kernel_id": "12943927"
    },
    {
      "ref": "tahsin/hubmap-baseline-unet-with-resnest-encoder",
      "title": "HuBMAP Baseline: Unet with Resnest Encoder",
      "source": "live",
      "kernel_id": "12942418"
    },
    {
      "ref": "raphaelbourgade/all-the-medical-data-you-need-to-know",
      "title": "All the medical data you need to know !",
      "source": "live",
      "kernel_id": "12941808"
    },
    {
      "ref": "tanguyperennec/hubmap-how-to-read-images",
      "title": "HuBMAP - how to read images ?",
      "source": "live",
      "kernel_id": "12940967"
    },
    {
      "ref": "steve03/hacking-the-kidney-anatomical-structures",
      "title": "Hacking the kidney, Anatomical structures",
      "source": "live",
      "kernel_id": "12940100"
    },
    {
      "ref": "arunmohan003/512x512-image-generation",
      "title": "512x512 image generation",
      "source": "live",
      "kernel_id": "12940082"
    },
    {
      "ref": "stratussox/show-tiff-files-and-masks",
      "title": "Show Tiff files and Masks",
      "source": "live",
      "kernel_id": "12939541"
    },
    {
      "ref": "praveengovi/lets-hack-kidney-together-eda-modeling-acc97",
      "title": "Lets Hack Kidney together 🙌 -EDA+Modeling  Acc97%",
      "source": "live",
      "kernel_id": "12939274"
    },
    {
      "ref": "piantic/tutorial-augmentation-with-mask-visualizati-n",
      "title": "[Tutorial] Augmentation with mask & Visualizati🔥n",
      "source": "live",
      "kernel_id": "12937983"
    },
    {
      "ref": "bguberfain/thumbnails-let-s-see-the-data",
      "title": "Thumbnails - Let's see the data",
      "source": "live",
      "kernel_id": "12933939"
    },
    {
      "ref": "bowaka/hubmap-eda-starter-notebook-with-rasterio",
      "title": "HuBMAP - EDA & Starter Notebook with Rasterio",
      "source": "live",
      "kernel_id": "12933228"
    },
    {
      "ref": "yuriikochurovskyi/hubmap-image-eda-step-by-step-beginner-friendly",
      "title": "HuBMAP. Image EDA (step-by-step beginner friendly)",
      "source": "live",
      "kernel_id": "12932208"
    },
    {
      "ref": "animatorandgamer/notebookc3b081a874",
      "title": "notebookc3b081a874",
      "source": "live",
      "kernel_id": "12932164"
    },
    {
      "ref": "orkatz2/hubmap-res34unet-baseline-train",
      "title": "HuBMAP - Res34UNet [baseline train] ",
      "source": "live",
      "kernel_id": "12930165"
    },
    {
      "ref": "kool777/training-hubmap-eda-tf-keras-tpu",
      "title": "[Training] HuBMAP EDA + Tf-Keras [TPU]",
      "source": "live",
      "kernel_id": "12928766"
    },
    {
      "ref": "vineeth1999/hubmap-eda-pytorch-efficientunet-offline-training",
      "title": "HuBMAP EDA  Pytorch EfficientUNet Offline Training",
      "source": "live",
      "kernel_id": "12928502"
    },
    {
      "ref": "nxrprime/hubmap-an-analysis-and-methodology",
      "title": "HuBMAP - an analysis and methodology",
      "source": "live",
      "kernel_id": "12927437"
    },
    {
      "ref": "kevinscaria/hubmap-eda",
      "title": "HuBMAP EDA",
      "source": "live",
      "kernel_id": "12927309"
    },
    {
      "ref": "xhlulu/hubmap-break-down-images-into-512x512-tiles",
      "title": "HuBMAP: Break down images into 512x512 tiles",
      "source": "live",
      "kernel_id": "12927280"
    },
    {
      "ref": "fireheart7/hubmap-eda",
      "title": "HuBMAP-EDA",
      "source": "live",
      "kernel_id": "12926915"
    },
    {
      "ref": "sreevishnudamodaran/build-custom-coco-dataset-512x512-tiled",
      "title": "Build Custom COCO Dataset 512x512 Tiled",
      "source": "live",
      "kernel_id": "12926906"
    },
    {
      "ref": "iafoss/256x256-images",
      "title": "256x256 images",
      "source": "live",
      "kernel_id": "12924933"
    },
    {
      "ref": "marcosnovaes/hubmap-read-data-and-build-tfrecords",
      "title": "HuBMap: Read data and build TFRecords ",
      "source": "live",
      "kernel_id": "12924533"
    },
    {
      "ref": "binovi/hubmap-hacking-the-kidney-visualization",
      "title": "HuBMAP Hacking the Kidney - Visualization",
      "source": "live",
      "kernel_id": "12924477"
    },
    {
      "ref": "subbuvolvosekar/eda-viz-hubmap",
      "title": "EDA + Viz | HuBMAP",
      "source": "live",
      "kernel_id": "12923847"
    },
    {
      "ref": "gauravmehta13/hubmap-hacking-the-kidney-eda",
      "title": "HuBMAP: Hacking the Kidney - EDA",
      "source": "live",
      "kernel_id": "12923694"
    },
    {
      "ref": "pestipeti/decoding-rle-masks",
      "title": "Decoding RLE masks",
      "source": "live",
      "kernel_id": "12923322"
    },
    {
      "ref": "ihelon/hubmap-exploratory-data-analysis",
      "title": "HuBMAP - Exploratory Data Analysis",
      "source": "live",
      "kernel_id": "12923126"
    },
    {
      "ref": "nayuts/hubmap-let-s-visualize-and-understand-dataset",
      "title": "HuBMAP Let's Visualize and Understand Dataset",
      "source": "live",
      "kernel_id": "12923051"
    },
    {
      "ref": "marcosnovaes/hubmap-looking-at-tfrecords",
      "title": "HUBMap Looking at TFRecords",
      "source": "live",
      "kernel_id": "12882651"
    },
    {
      "ref": "leahscherschel/glomeruli-detection-related-works",
      "title": "Glomeruli Detection Related Works",
      "source": "live",
      "kernel_id": "12731722"
    },
    {
      "ref": "leahscherschel/polygon-to-pixel-mask-conversion",
      "title": "Polygon to Pixel Mask Conversion",
      "source": "live",
      "kernel_id": "12731684"
    },
    {
      "ref": "leahscherschel/run-length-encoding",
      "title": "Run-Length Encoding",
      "source": "live",
      "kernel_id": "12731613"
    },
    {
      "ref": "leahscherschel/dataset-details",
      "title": "Dataset Details",
      "source": "live",
      "kernel_id": "12576357"
    },
    {
      "ref": "rishabhdev070/training-single-image-hubmap-unet",
      "title": "",
      "source": "meta",
      "kernel_id": "15231639"
    },
    {
      "ref": "drzhuzhe/hubmap-efficientnet-and-linknet-train",
      "title": "",
      "source": "meta",
      "kernel_id": "15954137"
    },
    {
      "ref": "rishabhdev070/training-hubmap-full-data",
      "title": "",
      "source": "meta",
      "kernel_id": "16333718"
    },
    {
      "ref": "tachyon777/test-notebook-1",
      "title": "",
      "source": "meta",
      "kernel_id": "16580214"
    },
    {
      "ref": "friedchips/fast-fully-correct-hubmap-v2-rle-encoding",
      "title": "",
      "source": "meta",
      "kernel_id": "28182025"
    },
    {
      "ref": "befunny/hubmap-fast-ai-starter-efficientnet",
      "title": "",
      "source": "meta",
      "kernel_id": "28636190"
    },
    {
      "ref": "matteociotola/iadf-school-ex1",
      "title": "",
      "source": "meta",
      "kernel_id": "30418767"
    },
    {
      "ref": "jslee35/image-seg-easy-code",
      "title": "",
      "source": "meta",
      "kernel_id": "31752641"
    },
    {
      "ref": "weihero/notebookhubmap-yolov8",
      "title": "",
      "source": "meta",
      "kernel_id": "39103859"
    },
    {
      "ref": "shaironen/atd-packages",
      "title": "",
      "source": "meta",
      "kernel_id": "43440871"
    },
    {
      "ref": "daedalus01/pytorch-fcn-resnet50-in-20-minute",
      "title": "",
      "source": "meta",
      "kernel_id": "43316124"
    },
    {
      "ref": "jirkaborovec/rle-run-length-encoding",
      "title": "",
      "source": "meta",
      "kernel_id": "49825957"
    },
    {
      "ref": "mouneshpatil/pytorchfcn-resnet50",
      "title": "",
      "source": "meta",
      "kernel_id": "49673146"
    },
    {
      "ref": "nourallahahmed/yolov4",
      "title": "",
      "source": "meta",
      "kernel_id": "50386397"
    },
    {
      "ref": "bchems/all-the-segmentation-metrics",
      "title": "",
      "source": "meta",
      "kernel_id": "57154091"
    },
    {
      "ref": "drstrange219/hubmap-eda-starter-notebook-with-rasterio",
      "title": "",
      "source": "meta",
      "kernel_id": "66768085"
    }
  ],
  "errors": []
}