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reproducibility

Here are 3,405 public repositories matching this topic...

๐Ÿฆ‰ Data Versioning and ML Experiments

  • Updated Aug 19, 2026
  • Python

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

  • Updated Aug 19, 2026
  • Python

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. โšก๐Ÿ”ฅโšก

  • Updated Jun 11, 2026
  • Python

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

  • Updated Oct 22, 2025
  • Python

This is the development home of the workflow management system Snakemake. For general information, see

  • Updated Aug 18, 2026
  • Python

A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups.

  • Updated Aug 10, 2026
  • TypeScript

Dev environments for numerous languages based on Nix flakes [maintainer=@lucperkins]

  • Updated Jun 12, 2026
  • Nix

A toolkit for reproducible reinforcement learning research.

  • Updated May 4, 2023
  • Python

A comparison between some VPS providers. It uses Ansible to perform a series of automated benchmark tests over the VPS servers that you specify. It allows the reproducibility of those tests by anyone that wanted to compare these results to their own. All the tests results are available in order to provide independence and transparency.

  • Updated May 22, 2018
  • Python

An R-focused pipeline toolkit for reproducibility and high-performance computing

  • Updated Dec 4, 2024
  • R

Simplified nix packaging for various programming language ecosystems [maintainer=@DavHau]

  • Updated Aug 19, 2026
  • Nix

Presentation-Ready Data Summary and Analytic Result Tables

  • Updated Aug 19, 2026
  • R

๐Ÿฆ– ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.

  • Updated Aug 19, 2026
  • Python

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

  • Updated May 25, 2023
  • Python

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