reproducibility

🦉 Data Versioning and ML Experiments

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

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

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

Accelerated deep learning R&D

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

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

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

A toolkit for reproducible reinforcement learning research.

☁️ 🚀 📊 📈 Evaluating state of the art in AI

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

The collaboration workspace for Machine Learning

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.

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

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

The open-source governance layer for AI agents: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run

Presentation-Ready Data Summary and Analytic Result Tables

High-fidelity performance metrics for generative models in PyTorch

🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.

Function-oriented Make-like declarative workflows for R