{ "id": 412237, "title": "Adjutant resources and onboarding materials", "url": "/competitions/hubmap-hacking-the-human-vasculature/discussion/412237", "author_name": "Ravi Ramakrishnan", "post_date": "2023-05-22T20:19:36.958000", "votes": 34, "comment_count": 0, "views": 0, "content": "

Hello all,

\n

Wishing you the best for the challenge! I hope the below resources may help one and all to get onboarded efficiently and quickly-

\n

HuBMAP - Hacking the Kidney
\nDiscussion posts and winning approaches

\n
    \n
  1. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238198 -- winning approach
    2. \n
  2. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238013 -- 3rd place approach
    3. \n
  3. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238024 -- 4th place approach
    4. \n
  4. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238443 -- 12th place approach
    5. \n
  5. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238308 -- 23rd place approach
    6. \n
\n

Popular notebooks

\n
    \n
  1. https://www.kaggle.com/code/ihelon/hubmap-exploratory-data-analysis -- most voted resource
    2. \n
  2. https://www.kaggle.com/code/iafoss/hubmap-pytorch-fast-ai-starter-sub -- excellent starter kernel with PyTorch
    3. \n
  3. https://www.kaggle.com/code/wrrosa/hubmap-tf-with-tpu-efficientunet-512x512-subm -- good starter with keras
    4. \n
  4. https://www.kaggle.com/code/finlay/pytorch-fcn-resnet50-in-20-minute -- good starter with Resnet 50 using PyTorch
    5. \n
\n

HuBMAP + HPA - Hacking the Human Body
\nDiscussion posts and winning approaches

\n
    \n
  1. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/356201 --winning solution
    2. \n
  2. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354857 -- 2nd place approach
    3. \n
  3. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354683 -- 3rd place approach
    4. \n
  4. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354851 -- 4th place solution
    5. \n
  5. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354859 -- 7th place approach
    6. \n
  6. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354701 -- 11th place approach
    7. \n
\n

Popular notebooks

\n
    \n
  1. https://www.kaggle.com/code/ishandutta/hubmap-complete-understanding-and-eda-w-b -- most popular kernel
    2. \n
  2. https://www.kaggle.com/code/thedevastator/training-fastai-baseline -- excellent starter kernel
    3. \n
  3. https://www.kaggle.com/code/alincijov/training-hubmap-lb-0-75-swin-transformer-v1 -- good starter with swin transformer
    4. \n
  4. https://www.kaggle.com/code/thedevastator/inference-fastai-baseline -- good starter with fastai
    5. \n
  5. https://www.kaggle.com/code/nghihuynh/data-augmentation-laplacian-pyramid-blending -- good example of data augmentation
    6. \n
\n

All the best for the challenge and best regards! Happy learning and good luck!

", "messages": [ { "id": 2269940, "postDate": "2023-05-22T20:19:36.960Z", "content": "

Hello all,

\n

Wishing you the best for the challenge! I hope the below resources may help one and all to get onboarded efficiently and quickly-

\n

HuBMAP - Hacking the Kidney
\nDiscussion posts and winning approaches

\n
    \n
  1. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238198 -- winning approach
    2. \n
  2. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238013 -- 3rd place approach
    3. \n
  3. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238024 -- 4th place approach
    4. \n
  4. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238443 -- 12th place approach
    5. \n
  5. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238308 -- 23rd place approach
    6. \n
\n

Popular notebooks

\n
    \n
  1. https://www.kaggle.com/code/ihelon/hubmap-exploratory-data-analysis -- most voted resource
    2. \n
  2. https://www.kaggle.com/code/iafoss/hubmap-pytorch-fast-ai-starter-sub -- excellent starter kernel with PyTorch
    3. \n
  3. https://www.kaggle.com/code/wrrosa/hubmap-tf-with-tpu-efficientunet-512x512-subm -- good starter with keras
    4. \n
  4. https://www.kaggle.com/code/finlay/pytorch-fcn-resnet50-in-20-minute -- good starter with Resnet 50 using PyTorch
    5. \n
\n

HuBMAP + HPA - Hacking the Human Body
\nDiscussion posts and winning approaches

\n
    \n
  1. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/356201 --winning solution
    2. \n
  2. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354857 -- 2nd place approach
    3. \n
  3. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354683 -- 3rd place approach
    4. \n
  4. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354851 -- 4th place solution
    5. \n
  5. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354859 -- 7th place approach
    6. \n
  6. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354701 -- 11th place approach
    7. \n
\n

Popular notebooks

\n
    \n
  1. https://www.kaggle.com/code/ishandutta/hubmap-complete-understanding-and-eda-w-b -- most popular kernel
    2. \n
  2. https://www.kaggle.com/code/thedevastator/training-fastai-baseline -- excellent starter kernel
    3. \n
  3. https://www.kaggle.com/code/alincijov/training-hubmap-lb-0-75-swin-transformer-v1 -- good starter with swin transformer
    4. \n
  4. https://www.kaggle.com/code/thedevastator/inference-fastai-baseline -- good starter with fastai
    5. \n
  5. https://www.kaggle.com/code/nghihuynh/data-augmentation-laplacian-pyramid-blending -- good example of data augmentation
    6. \n
\n

All the best for the challenge and best regards! Happy learning and good luck!

", "rawMarkdown": "Hello all,\n\nWishing you the best for the challenge! I hope the below resources may help one and all to get onboarded efficiently and quickly- \n\n**HuBMAP - Hacking the Kidney**\n*Discussion posts and winning approaches*\n1. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238198 -- winning approach\n2. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238013 -- 3rd place approach\n3. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238024 -- 4th place approach\n4. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238443 -- 12th place approach\n5. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238308 -- 23rd place approach\n\n*Popular notebooks*\n1. https://www.kaggle.com/code/ihelon/hubmap-exploratory-data-analysis -- most voted resource\n2. https://www.kaggle.com/code/iafoss/hubmap-pytorch-fast-ai-starter-sub -- excellent starter kernel with PyTorch\n3. https://www.kaggle.com/code/wrrosa/hubmap-tf-with-tpu-efficientunet-512x512-subm -- good starter with keras\n4. https://www.kaggle.com/code/finlay/pytorch-fcn-resnet50-in-20-minute -- good starter with Resnet 50 using PyTorch\n\n**HuBMAP + HPA - Hacking the Human Body**\n*Discussion posts and winning approaches*\n1. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/356201 --winning solution\n2. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354857 -- 2nd place approach\n3. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354683 -- 3rd place approach\n4. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354851 -- 4th place solution\n5. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354859 -- 7th place approach\n6. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354701 -- 11th place approach\n\n*Popular notebooks*\n1. https://www.kaggle.com/code/ishandutta/hubmap-complete-understanding-and-eda-w-b -- most popular kernel\n2. https://www.kaggle.com/code/thedevastator/training-fastai-baseline -- excellent starter kernel\n3. https://www.kaggle.com/code/alincijov/training-hubmap-lb-0-75-swin-transformer-v1 -- good starter with swin transformer\n4. https://www.kaggle.com/code/thedevastator/inference-fastai-baseline -- good starter with fastai \n5. https://www.kaggle.com/code/nghihuynh/data-augmentation-laplacian-pyramid-blending -- good example of data augmentation\n\nAll the best for the challenge and best regards! Happy learning and good luck!", "votes": 34 } ], "comments": [], "raw_markdown_by_id": { "2269940": "Hello all,\n\nWishing you the best for the challenge! I hope the below resources may help one and all to get onboarded efficiently and quickly- \n\n**HuBMAP - Hacking the Kidney**\n*Discussion posts and winning approaches*\n1. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238198 -- winning approach\n2. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238013 -- 3rd place approach\n3. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238024 -- 4th place approach\n4. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238443 -- 12th place approach\n5. https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238308 -- 23rd place approach\n\n*Popular notebooks*\n1. https://www.kaggle.com/code/ihelon/hubmap-exploratory-data-analysis -- most voted resource\n2. https://www.kaggle.com/code/iafoss/hubmap-pytorch-fast-ai-starter-sub -- excellent starter kernel with PyTorch\n3. https://www.kaggle.com/code/wrrosa/hubmap-tf-with-tpu-efficientunet-512x512-subm -- good starter with keras\n4. https://www.kaggle.com/code/finlay/pytorch-fcn-resnet50-in-20-minute -- good starter with Resnet 50 using PyTorch\n\n**HuBMAP + HPA - Hacking the Human Body**\n*Discussion posts and winning approaches*\n1. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/356201 --winning solution\n2. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354857 -- 2nd place approach\n3. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354683 -- 3rd place approach\n4. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354851 -- 4th place solution\n5. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354859 -- 7th place approach\n6. https://www.kaggle.com/competitions/hubmap-organ-segmentation/discussion/354701 -- 11th place approach\n\n*Popular notebooks*\n1. https://www.kaggle.com/code/ishandutta/hubmap-complete-understanding-and-eda-w-b -- most popular kernel\n2. https://www.kaggle.com/code/thedevastator/training-fastai-baseline -- excellent starter kernel\n3. https://www.kaggle.com/code/alincijov/training-hubmap-lb-0-75-swin-transformer-v1 -- good starter with swin transformer\n4. https://www.kaggle.com/code/thedevastator/inference-fastai-baseline -- good starter with fastai \n5. https://www.kaggle.com/code/nghihuynh/data-augmentation-laplacian-pyramid-blending -- good example of data augmentation\n\nAll the best for the challenge and best regards! Happy learning and good luck!" } }