Let us control diffusion models!

Reverse engineered ChatGPT API

A high-throughput and memory-efficient inference and serving engine for LLMs

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Convert Machine Learning Code Between Frameworks

Open source code for AlphaFold.

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

An educational resource to help anyone learn deep reinforcement learning.

A collaboration friendly studio for NeRFs

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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

A Collection of Variational Autoencoders (VAE) in PyTorch.

Point cloud diffusion for 3D model synthesis

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Infinite Photorealistic Worlds using Procedural Generation

DUSt3R: Geometric 3D Vision Made Easy

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

Modularized Implementation of Deep RL Algorithms in PyTorch

MuZero

Collection of reinforcement learning algorithms

Vector (and Scalar) Quantization, in Pytorch

Run Mixtral-8x7B models in Colab or consumer desktops

A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

A library for differentiable nonlinear optimization

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

Code for running RFdiffusion

Simulation of spiking neural networks (SNNs) using PyTorch.

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM