🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Fast and memory-efficient exact attention

Open-source framework for the research and development of foundation models.

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

All Algorithms implemented in Rust

📓 Lint commit messages

Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax

🤘Open source programming font

Configuration with Dataclasses+YAML+Argparse. Fork of Pyrallis

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

OpenVLA: An open-source vision-language-action model for robotic manipulation.

[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

VLM Evaluation: Benchmark for VLMs, spanning text generation tasks from VQA to Captioning

Solve puzzles. Learn CUDA.

A collection of resources and papers on Diffusion Models

A curated awesome list of lists of interview questions. Feel free to contribute! 🎓

A flexible and efficient codebase for training visually-conditioned language models (VLMs)

Annotated version of the Mamba paper

Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face 🤗 Transformers.

Voltron Evaluation: Diverse Evaluation Tasks for Robotic Representation Learning

Voltron: Language-Driven Representation Learning for Robotics

Template Repository with Conda and Sane Quality Defaults (Black, Flake, isort) for PyTorch Projects.

Generate a Python module from a single Rust file.

Companion Codebase for "No, to the Right – Online Language Corrections for Robotic Manipulation via Shared Autonomy"

Template Repository with Conda and Sane Quality Defaults (Black, Flake, isort) for PyTorch-Lightning Projects.

Lightweight control environment for Franka robot

A library to create and manage configuration files, especially for machine learning projects.

Code and Experiments for ACL-IJCNLP 2021 Paper "Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering."