generated: '2026-08-02'
method: searched
source: https://github.com/colossal-compsci
note: >-
  Colossal Biosciences ships no API client library or SDK — it publishes no product API to
  wrap. The colossal-compsci GitHub organization does publish first-party research software.
  Registries probed with no first-party hit: npm, PyPI, Maven Central, NuGet, pkg.go.dev,
  RubyGems, Packagist, crates.io, CRAN. (pypi.org/project/colossal exists but is published
  by an unrelated author, and the "Colossal-AI" framework on PyPI/npm belongs to HPC-AI Tech,
  not Colossal Biosciences.)
sdk_count: 0
packages:
- language: r
  registry: github
  name: tfboot
  url: https://github.com/colossal-compsci/tfboot
  install: devtools::install_github("colossal-compsci/tfboot")
  official: true
  api_client: false
  on_cran: false
  description: >-
    R package for bootstrap resampling of motifbreakR results — statistical analysis of SNPs
    that disrupt transcription-factor binding sites.
- language: python
  registry: github
  name: few-shot-bird-call
  url: https://github.com/colossal-compsci/few-shot-bird-call
  install: git clone https://github.com/colossal-compsci/few-shot-bird-call
  official: true
  api_client: false
  description: >-
    Automated pipeline for few-shot bird-call classification (tooth-billed pigeon case study).
- language: python
  registry: github
  name: SSLUnsupDet
  url: https://github.com/colossal-compsci/SSLUnsupDet
  install: git clone https://github.com/colossal-compsci/SSLUnsupDet
  official: true
  api_client: false
  description: Self-supervised unsupervised detection research code.