https://github.com/csinva/hpa-interp

Interpretations on the HPA dataset.

https://github.com/csinva/hpa-interp

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.9%) to scientific vocabulary

Keywords

artificial-intelligence biological-data-analysis deep-learning explainability interpretability machine-learning medical-imaging ml neural-network pytorch
Last synced: 5 months ago · JSON representation

Repository

Interpretations on the HPA dataset.

Basic Info
  • Host: GitHub
  • Owner: csinva
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 6.81 MB
Statistics
  • Stars: 1
  • Watchers: 3
  • Forks: 0
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Topics
artificial-intelligence biological-data-analysis deep-learning explainability interpretability machine-learning medical-imaging ml neural-network pytorch
Created over 6 years ago · Last pushed about 6 years ago
Metadata Files
Readme

readme.md

HPA interp

  • model zoo: https://modelzoo.cellprofiling.org/#/
    • download the model from bestfitting, unzip and rename it to bestfitting and then add to this directory
  • data downloading: https://github.com/CellProfiling/HPA-model-zoo

Owner

  • Name: Chandan Singh
  • Login: csinva
  • Kind: user
  • Location: Microsoft research
  • Company: Senior researcher

Senior researcher @Microsoft interpreting ML models in science and medicine. PhD from UC Berkeley.

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