{
  "source": "live Code list",
  "fetched_at": "2026-10-18T13:40:56Z",
  "count": 215,
  "complete": true,
  "items": [
    {
      "ref": "ahmed1harfoush/hacking-the-human-vasculature-in-3d-u-net-model",
      "votes": 2
    },
    {
      "ref": "nirjon77/notebooke7ee6fa382",
      "votes": 1
    },
    {
      "ref": "sadmanrahman1391/ml-project-resnet50",
      "votes": 1
    },
    {
      "ref": "sadmanrahman1391/try-ml-project",
      "votes": 0
    },
    {
      "ref": "danayyad/exp-12",
      "votes": 1
    },
    {
      "ref": "danayyad/experiment-8",
      "votes": 0
    },
    {
      "ref": "danayyad/experiment-5",
      "votes": 0
    },
    {
      "ref": "danayyad/experiment-2",
      "votes": 0
    },
    {
      "ref": "danaayyad/experiment-7",
      "votes": 0
    },
    {
      "ref": "nataliecheong/kidney-vessels-segmentation",
      "votes": 1
    },
    {
      "ref": "danajayyad/experiment-13",
      "votes": 1
    },
    {
      "ref": "danajayyad/experiment-7",
      "votes": 1
    },
    {
      "ref": "laiangriscv/kidney-baseline",
      "votes": 0
    },
    {
      "ref": "danajayyad/unet-lr-4",
      "votes": 0
    },
    {
      "ref": "bhattacharyaaditya/ds-cp",
      "votes": 0
    },
    {
      "ref": "danayyad/experiment2",
      "votes": 0
    },
    {
      "ref": "danajayyad/final-experiments-metrics-xai",
      "votes": 1
    },
    {
      "ref": "deeparker/sennet-unet-attention-unet-and-ensemble",
      "votes": 4
    },
    {
      "ref": "saidkoussi/human-vasculature3d-with-keras-tensorflow",
      "votes": 10
    },
    {
      "ref": "sarthakaryan/2d-to-3d-unet-demo",
      "votes": 1
    },
    {
      "ref": "danajayyad/pretrained-2d",
      "votes": 0
    },
    {
      "ref": "hanannjoum/2d-unet-11eeab",
      "votes": 0
    },
    {
      "ref": "danajayyad/2d-unet",
      "votes": 1
    },
    {
      "ref": "dnvert03/3d-visual-wip",
      "votes": 1
    },
    {
      "ref": "danajayyad/bloodvesselssegmentationversion1",
      "votes": 1
    },
    {
      "ref": "benjaminmah/fpn-training-notebook-for-vascularity-segmentation",
      "votes": 1
    },
    {
      "ref": "chamaelkasri/blood-vessel-segmentation-train-2-gpus",
      "votes": 3
    },
    {
      "ref": "samithanawarathna/pytorch-resunet-for-mri-image-segmentation",
      "votes": 37
    },
    {
      "ref": "desolationofsmaug/constructing-human-vasculature-using-deeplabv3",
      "votes": 7
    },
    {
      "ref": "kailathan/fpn-training-notebook-for-vascularity-segmentation",
      "votes": 2
    },
    {
      "ref": "something4kag/2d-to-3d-unet-cc3d-priv-0-611960",
      "votes": 9
    },
    {
      "ref": "clevert/sennet-unet-convnext-3d-rotation",
      "votes": 16
    },
    {
      "ref": "clevert/sennet-1st-place-solution",
      "votes": 42
    },
    {
      "ref": "pollicio/fast-surface-dice-computation-visualizacion",
      "votes": 6
    },
    {
      "ref": "ivanpan/final-submission",
      "votes": 12
    },
    {
      "ref": "pib73nl/sennet-hoa-bvs-12th-place-solution-infer",
      "votes": 6
    },
    {
      "ref": "pib73nl/sennet-hoa-bvs-12th-place-solution-train",
      "votes": 12
    },
    {
      "ref": "forcewithme/sennet-top3-final-submission2",
      "votes": 8
    },
    {
      "ref": "menno1111/sennet-hoa23-2-5d-4-panel-submission",
      "votes": 1
    },
    {
      "ref": "igorkrashenyi/4th-place-solution",
      "votes": 12
    },
    {
      "ref": "greedyfornothing/fork-of-sennet-hoa-train-model",
      "votes": 0
    },
    {
      "ref": "forcewithme/sennet-top3-final-submission",
      "votes": 7
    },
    {
      "ref": "sacuscreed/132th-solution",
      "votes": 15
    },
    {
      "ref": "abdulkadirguner/fork-of-6liensemble-of-final-061",
      "votes": 1
    },
    {
      "ref": "perdigao1/kidney-submission-multiaxis-pytorchsmp-mlp-2drots",
      "votes": 0
    },
    {
      "ref": "hideyukizushi/hoa-pub-861-private-459",
      "votes": 5
    },
    {
      "ref": "jayyanamandala/dl-nn-sennet-hoa-resnet-34",
      "votes": 3
    },
    {
      "ref": "perdigao1/kidney-submission-multiaxis-pytorchsmp-mlpinterp",
      "votes": 1
    },
    {
      "ref": "lenferdetroud/weighted-ensemble-inference",
      "votes": 1
    },
    {
      "ref": "intdivrot/sennet-training",
      "votes": 0
    },
    {
      "ref": "igorkrashenyi/final-ensemble-of-multiview-2d-and-3d",
      "votes": 2
    },
    {
      "ref": "menno1111/connected-components-3d",
      "votes": 0
    },
    {
      "ref": "intdivrot/sennet-inference",
      "votes": 0
    },
    {
      "ref": "nooneuse/find-why-bug-inference-1024-unet",
      "votes": 2
    },
    {
      "ref": "minhsienweng/train-segmentation-mask-model",
      "votes": 6
    },
    {
      "ref": "cyrielled/light-submission-preprocessed-in-dataloader",
      "votes": 0
    },
    {
      "ref": "awxlong/hack-vasculature-transfer-learning-inference",
      "votes": 2
    },
    {
      "ref": "greedyfornothing/sennet-hoa-train-model",
      "votes": 4
    },
    {
      "ref": "sacuscreed/smp-2d-inference-back-to-basics",
      "votes": 4
    },
    {
      "ref": "jtakahashi64/simple-train-and-infer-implement-with-pytorch",
      "votes": 7
    },
    {
      "ref": "mohammad2012191/ensemble-512-768-private-0-55",
      "votes": 1
    },
    {
      "ref": "annaselinabaniakina/sennet-hoa",
      "votes": 1
    },
    {
      "ref": "bhavyadhingra00020/clean-code-weighted-ensemble-inference",
      "votes": 489
    },
    {
      "ref": "minhsienweng/infer-ensembles-of-three-models-with-weights",
      "votes": 5
    },
    {
      "ref": "awsaf49/sennet-hoa-kerascv-starter-notebook-infer",
      "votes": 66
    },
    {
      "ref": "awsaf49/sennet-hoa-kerascv-starter-notebook-train",
      "votes": 111
    },
    {
      "ref": "debankitabasu15/ds5500-project-phase-1",
      "votes": 1
    },
    {
      "ref": "aaalexlit/yolo-followed-by-sam",
      "votes": 12
    },
    {
      "ref": "tanxxx/inference-se-tugc",
      "votes": 7
    },
    {
      "ref": "aaalexlit/yolo-train-kidney-1-dense-val-kidney-3-dense-1303",
      "votes": 7
    },
    {
      "ref": "tanxxx/tu-hrnet-w30-and-effb3-inference",
      "votes": 0
    },
    {
      "ref": "tanxxx/2d-tu-gcresnext50ts-inference",
      "votes": 1
    },
    {
      "ref": "nextnlp/40epoch",
      "votes": 0
    },
    {
      "ref": "aaalexlit/train-yolo-all-the-data-minus-kidney-3-1024",
      "votes": 7
    },
    {
      "ref": "sacuscreed/eda-getting-the-core",
      "votes": 17
    },
    {
      "ref": "sacuscreed/adapting-2d-smp-pretrained-back-bones-to-3d",
      "votes": 9
    },
    {
      "ref": "greedyfornothing/sennet-hoa-preprocessing-images-and-mask",
      "votes": 5
    },
    {
      "ref": "aaalexlit/inference-yolo-trained-all-10-epochs-size-1952",
      "votes": 11
    },
    {
      "ref": "aaalexlit/kidney-3-dense-to-yolo",
      "votes": 0
    },
    {
      "ref": "aaalexlit/train-yolo-on-all-the-data-except-kidney-3-dense",
      "votes": 1
    },
    {
      "ref": "ojimaryoji/sennet-hoa-2nd-place-solution",
      "votes": 13
    },
    {
      "ref": "aaalexlit/kidney-3-sparse-to-yolo",
      "votes": 1
    },
    {
      "ref": "aaalexlit/kidney-2-to-yolo",
      "votes": 2
    },
    {
      "ref": "aaalexlit/kidney-1-voi-to-yolo",
      "votes": 0
    },
    {
      "ref": "aaalexlit/kidney-1-dense-to-yolo",
      "votes": 2
    },
    {
      "ref": "adrian774/mobile-unet-simple-2",
      "votes": 6
    },
    {
      "ref": "vinayaktiwari28/easy-to-understand-clean-baseline-code-train",
      "votes": 100
    },
    {
      "ref": "aaalexlit/inference-with-yolo-trained-on-small-dataset",
      "votes": 9
    },
    {
      "ref": "sacuscreed/yes-eda-again-let-s-remove-background",
      "votes": 23
    },
    {
      "ref": "aaalexlit/prepare-and-train-small-dataset-yolov8",
      "votes": 2
    },
    {
      "ref": "andrewkettle/pytorch-segformer-and-sam-on-kindey-1",
      "votes": 36
    },
    {
      "ref": "yasinadyaman/tfmodels",
      "votes": 10
    },
    {
      "ref": "cyberian516/testing-the-scoring-system",
      "votes": 5
    },
    {
      "ref": "noahbittermann/segformer-submission3",
      "votes": 0
    },
    {
      "ref": "perdigao1/train-fastai-unet-multiaxis-mlp-3d",
      "votes": 1
    },
    {
      "ref": "aaalexlit/convert-binary-to-coco-to-yolo",
      "votes": 3
    },
    {
      "ref": "snorfyang/sennet-hoa-convnext-unet-sub-ensemble",
      "votes": 4
    },
    {
      "ref": "amanmukati/sennet-hoa",
      "votes": 12
    },
    {
      "ref": "starsw/inference-1024-should-have-a-percentile-of-0-00149",
      "votes": 4
    },
    {
      "ref": "myyeahnet/inference-1024-should-have-a-percentile-of-ff210e",
      "votes": 7
    },
    {
      "ref": "b45370/inferencenb",
      "votes": 1
    },
    {
      "ref": "tanxxx/se-resnext-inference-1024",
      "votes": 1
    },
    {
      "ref": "ducchu12/the-training-image-is-1024-x-1024",
      "votes": 0
    },
    {
      "ref": "kirtirajsinhparmar/2-5d-cutting-model-baseline-inference",
      "votes": 0
    },
    {
      "ref": "tahseenislamsajon/sennet-hoa-3d-training-monai-pytorch",
      "votes": 19
    },
    {
      "ref": "aeyeee/sennet-yolov8-inference",
      "votes": 2
    },
    {
      "ref": "ducchu12/training-6",
      "votes": 0
    },
    {
      "ref": "aatamikorpi/interactive-3d-plot",
      "votes": 21
    },
    {
      "ref": "aatamikorpi/3d-reconstruction-visualistaion",
      "votes": 44
    },
    {
      "ref": "tereka/simpleunet-xy-xz-yz-v2-nbp-b749ff",
      "votes": 12
    },
    {
      "ref": "nimaiji/segnet-tensorflow-blood-vessel-segmentation",
      "votes": 14
    },
    {
      "ref": "pranshubahadur/sn-hoa-hf-sdm-dl-training",
      "votes": 22
    },
    {
      "ref": "theoviel/sennet-inference-theo",
      "votes": 5
    },
    {
      "ref": "kyotaroh/sennet-hoa-attention-gated-unet-submission",
      "votes": 7
    },
    {
      "ref": "greatgreysheep/lb-0-45",
      "votes": 15
    },
    {
      "ref": "nuozhou1/sennet-submission",
      "votes": 0
    },
    {
      "ref": "donottalk/sennet-hoa-research-eda-in-process",
      "votes": 30
    },
    {
      "ref": "lohithkandukuri/empty-submission",
      "votes": 12
    },
    {
      "ref": "tahseenislamsajon/submission-example-for-2d-to-3d-unet",
      "votes": 4
    },
    {
      "ref": "sacuscreed/triple-your-data-oblique-slices",
      "votes": 12
    },
    {
      "ref": "menno1111/empatches",
      "votes": 1
    },
    {
      "ref": "slipknottn/blood-vessel-segmentation-simple-2d",
      "votes": 4
    },
    {
      "ref": "rfeng12/sennet-kidney-slice-segmentations-not-working",
      "votes": 0
    },
    {
      "ref": "tushirsahu/attention-unet-pytorch-3d-segmentation",
      "votes": 81
    },
    {
      "ref": "markwatney/full-free-slice-rotations-animation",
      "votes": 9
    },
    {
      "ref": "something4kag/sennet-hoa-pkgs",
      "votes": 0
    },
    {
      "ref": "raviiloveyou/unet-xception-3d-vasculature-revolution",
      "votes": 5
    },
    {
      "ref": "limitz/multi-gpu-inference-2d-3d",
      "votes": 3
    },
    {
      "ref": "abdulkhaleel/senet",
      "votes": 3
    },
    {
      "ref": "pranshubahadur/so-hoa-eda-395-rows-w-all-0-masks",
      "votes": 5
    },
    {
      "ref": "finlay/sennet-hoa-from-0-to-1",
      "votes": 26
    },
    {
      "ref": "yasinadyaman/unet3dinfer",
      "votes": 6
    },
    {
      "ref": "hengck23/submission-example-for-2d-to-3d-unet",
      "votes": 71
    },
    {
      "ref": "aniruthsundararajan/notebook03a2b1d268",
      "votes": 2
    },
    {
      "ref": "hengck23/2d-to-3d-unet-demo",
      "votes": 76
    },
    {
      "ref": "sacuscreed/unet3d-torch-gpu",
      "votes": 25
    },
    {
      "ref": "korotas/sennet-hoa-pl-smp-training-and-inference",
      "votes": 18
    },
    {
      "ref": "korotas/pip-download-clearml",
      "votes": 4
    },
    {
      "ref": "igorkrashenyi/fork-of-multiview-2-5-sennet-hoa-inference-v3",
      "votes": 4
    },
    {
      "ref": "dhinkris/inference-patch-based-3d-unet-tf-tpu",
      "votes": 13
    },
    {
      "ref": "dhinkris/training-patch-based-3d-unet-tf-tpu",
      "votes": 41
    },
    {
      "ref": "junkoda/fast-surface-dice-computation",
      "votes": 153
    },
    {
      "ref": "sonujha090/sennet-fastai-inference",
      "votes": 15
    },
    {
      "ref": "yoyobar/2-5d-cutting-model-baseline-inference",
      "votes": 343
    },
    {
      "ref": "deanphamnguyen/second-sennet-submission-c96555",
      "votes": 30
    },
    {
      "ref": "bhavesjain/segmentation-libs",
      "votes": 2
    },
    {
      "ref": "deanphamnguyen/dean-attention-unet-patch",
      "votes": 1
    },
    {
      "ref": "guptarohan2003/184run2",
      "votes": 5
    },
    {
      "ref": "athrunzala/bug-3d-plot-with-pyvista",
      "votes": 8
    },
    {
      "ref": "awxlong/hack-vasculature-transfer-learning",
      "votes": 0
    },
    {
      "ref": "rohitdileep/unet-tensorflow",
      "votes": 39
    },
    {
      "ref": "jannahmahmoud/notebook642a130582",
      "votes": 0
    },
    {
      "ref": "deanphamnguyen/sennet-hoa-train-unet-simple-baseline",
      "votes": 3
    },
    {
      "ref": "lohithkandukuri/exploration",
      "votes": 12
    },
    {
      "ref": "athrunzala/2d-method",
      "votes": 6
    },
    {
      "ref": "sonujha090/sennet-fastai-starter",
      "votes": 17
    },
    {
      "ref": "limitz/pytorch-dataset-with-volumetric-augmentations",
      "votes": 19
    },
    {
      "ref": "ruslan1511/eda-animate-statistic",
      "votes": 10
    },
    {
      "ref": "prospernice/notebookebb4671baa",
      "votes": 3
    },
    {
      "ref": "carljvh/renal-vascalature-with-fastai",
      "votes": 2
    },
    {
      "ref": "deanphamnguyen/dean-simple-unet-submission",
      "votes": 2
    },
    {
      "ref": "hengck23/check-kaggle-metric-for-cv",
      "votes": 28
    },
    {
      "ref": "langzhelu/sennet-unet-secondversion",
      "votes": 3
    },
    {
      "ref": "hengck23/lb0-808-resnet50-2d-unet-xy-zy-zx-cc3d",
      "votes": 363
    },
    {
      "ref": "aniketkolte04/sennet-hoa-seg-pytorch-attention-gated-unet",
      "votes": 250
    },
    {
      "ref": "yoyobar/2-5d-cutting-model-baseline-training",
      "votes": 330
    },
    {
      "ref": "langzhelu/sennet-submission-for-resnext-on-patched-images",
      "votes": 21
    },
    {
      "ref": "hengck23/bug-3d-plot-with-pyvista",
      "votes": 58
    },
    {
      "ref": "aniketkolte04/sennet-hoa-eda-animation",
      "votes": 190
    },
    {
      "ref": "kemh17/bloodvesselsegmentation",
      "votes": 4
    },
    {
      "ref": "snorfyang/sennet-hoa-convnext-unet-sub",
      "votes": 4
    },
    {
      "ref": "suraj520/unet-end-to-end-train-infer",
      "votes": 32
    },
    {
      "ref": "dieptam/sennet-hoa-in-memory-tiled-dataset-pytorch",
      "votes": 49
    },
    {
      "ref": "squidinator/kernel-method-baseline",
      "votes": 3
    },
    {
      "ref": "squidinator/sennet-hoa-in-memory-tiled-dataset-pytorch",
      "votes": 53
    },
    {
      "ref": "allunia/eda-hacking-the-human-vasculature-in-3d",
      "votes": 85
    },
    {
      "ref": "zenglinlin/2-clean-dataset",
      "votes": 4
    },
    {
      "ref": "zenglinlin/1-explore-dataset",
      "votes": 9
    },
    {
      "ref": "limitz/slicing-xz-and-zy",
      "votes": 35
    },
    {
      "ref": "hengck23/lb0-534-baseline-simple-unet-seresnext26d-32x4",
      "votes": 162
    },
    {
      "ref": "ngnmwt/surface-dice-metric-eda-hla-rna-mhc-sennet-hoa",
      "votes": 7
    },
    {
      "ref": "perdigao1/kidney5-kidney6",
      "votes": 2
    },
    {
      "ref": "adebayo/eda-tf-keras-starter-vasculature-segmention",
      "votes": 30
    },
    {
      "ref": "pangyuteng/frustrated-frank",
      "votes": 8
    },
    {
      "ref": "tonyyunyang99/sennet-hoa-hacking-the-human-vasculature-in-3d",
      "votes": 2
    },
    {
      "ref": "dhinkris/interactive-3d-viewer-tiff-to-nifti-images",
      "votes": 7
    },
    {
      "ref": "dieptam/blood-vessel-segmentation-submission-notebook",
      "votes": 30
    },
    {
      "ref": "harshitsheoran/notebooke824b39459",
      "votes": 7
    },
    {
      "ref": "pangyuteng/xgboost-is-all-you-need",
      "votes": 62
    },
    {
      "ref": "shreydan/first-look-monai-animations-rle",
      "votes": 25
    },
    {
      "ref": "clemchris/test-submission",
      "votes": 24
    },
    {
      "ref": "kashiwaba/sennet-hoa-inference-unet-simple-baseline",
      "votes": 432
    },
    {
      "ref": "kashiwaba/pip-download-for-segmentation-models-pytorch",
      "votes": 48
    },
    {
      "ref": "kashiwaba/sennet-hoa-train-unet-simple-baseline",
      "votes": 283
    },
    {
      "ref": "busharakmea/sennet-hoa-hacking-the-human-vasculature-in-3d",
      "votes": 23
    },
    {
      "ref": "stpeteishii/blood-vessel-mask-to-rle",
      "votes": 13
    },
    {
      "ref": "bvinning/sennet-hoa-viewer-widget",
      "votes": 19
    },
    {
      "ref": "pangyuteng/tiff-to-nifti-visualize-using-itksnap",
      "votes": 10
    },
    {
      "ref": "jefersonpazze/eda-baseline-ubc-sennet",
      "votes": 8
    },
    {
      "ref": "jgabrielsb/unet-from-scratch",
      "votes": 6
    },
    {
      "ref": "stpeteishii/blood-vessel-check-callback-images",
      "votes": 4
    },
    {
      "ref": "stpeteishii/blood-vessel-mask-unet-w-callback",
      "votes": 4
    },
    {
      "ref": "stpeteishii/blood-vessel-image-slide-show",
      "votes": 14
    },
    {
      "ref": "stpeteishii/blood-vessel-mask-slide-show",
      "votes": 10
    },
    {
      "ref": "rafiko1/sennet-hoa-eda-animation",
      "votes": 23
    },
    {
      "ref": "jirkaborovec/sennet-hoa-eda-lightning-segmentation-2d",
      "votes": 64
    },
    {
      "ref": "salmankhaliq22/opencv-skimage-denoising-techniques",
      "votes": 19
    },
    {
      "ref": "jirkaborovec/sennet-hoa-rle-decode-encode-demo-submission",
      "votes": 80
    },
    {
      "ref": "salmankhaliq22/tf-keras-attention-unet-code",
      "votes": 27
    },
    {
      "ref": "salmankhaliq22/tf-keras-segnet-starter-submission",
      "votes": 65
    },
    {
      "ref": "salmankhaliq22/tf-keras-unet-starter-sennet-hoa",
      "votes": 50
    },
    {
      "ref": "sytuannguyen/blood-vessel-segmentation",
      "votes": 5
    },
    {
      "ref": "miltiadesgeneral/preparing-coco-dataset",
      "votes": 5
    },
    {
      "ref": "mpwolke/kidney-senescence-pyvips",
      "votes": 19
    },
    {
      "ref": "sb0702/sennet-hoa-visualize-3d-slice-mask",
      "votes": 67
    }
  ]
}