iterative-pseudo-balancing

Iterative Pseudo Balancing for Stem Cell Microscopy Image Classification

https://github.com/adamwitmer/iterative-pseudo-balancing

Science Score: 44.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Iterative Pseudo Balancing for Stem Cell Microscopy Image Classification

Basic Info
  • Host: GitHub
  • Owner: adamwitmer
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 303 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created almost 3 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

Meta Pseudo Labels

Code for 'Iterative Pseudo Balancing,' based on Meta Pseudo Labels (https://github.com/kekmodel/MPL-pytorch)

This repository includes a multi-scale implementation of the MPL algorithm, including relevant dataloaders, transformations, and other modules for the application of stem cell microscopy classification.

image

Owner

  • Name: Adam Witmer
  • Login: adamwitmer
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Witmer
  given-names: Adam
  orcid: https://orcid.org/0000-0003-1097-651X
- family-names: Bhanu
  given-names: Bir
  orchid: https://orcid.org/0000-0001-8971-6416
title: Iterative Pseudo Balancing
version: v1.0.0
doi: 10.5281/zenodo.10672428
date-released: 2024-02-16
url: 'https://github.com/adamwitmer/Iterative-Pseudo-Balancing'

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Dependencies

HRNet/requirements.txt pypi
  • Cython *
  • EasyDict ==1.7
  • json_tricks *
  • opencv-python ==3.4.1.15
  • pandas *
  • pyyaml *
  • scikit-image *
  • scipy *
  • shapely ==1.6.4
  • tensorboardX >=1.6
  • yacs >=0.1.5