A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

🦉 Data Versioning and ML Experiments

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Reproducing images with geometric primitives.

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

Session replay, cobrowsing and product analytics you can self-host. Best for reproducing issues and iterating on your product.

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

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Fast, Declarative, Reproducible, and Composable Developer Environments using Nix

Reproduce DeFi hacked incidents using Foundry.

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

🚀 Kick-start your C++! A template for modern C++ projects using CMake, CI, code coverage, clang-format, reproducible dependency management and much more.

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

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

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

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

📦 CMake's missing package manager. A small CMake script for setup-free, cross-platform, reproducible dependency management.

A library to reproduce the behavior of the Bottom Navigation guidelines from Material Design.

Accelerated deep learning R&D

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

JSCAD is an open source set of modular, browser and command line tools for creating parametric 2D and 3D designs with JavaScript code. It provides a quick, precise and reproducible method for generating 3D models, and is especially useful for creating ready-to-print 3D designs.

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

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.

A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.

High-performance extensible build system for reproducible multi-language builds.

Collection of popular and reproducible image denoising works.

Reproduce R1 Zero on Logic Puzzle

Code for reproducing experiments in "Improved Training of Wasserstein GANs"