Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

Inference Llama 2 in one file of pure C

Making Reddit data accessible to researchers, moderators and everyone else. Interact with the data through large dumps, an API or web interface.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

A collection of modular datasets generated by GPT-4, General-Instruct - Roleplay-Instruct - Code-Instruct - and Toolformer

This is optimized firmware for Ender3 V2/S1 3D printers.

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…

Example scripts for the pushshift dump files

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

2D Game Physics for Python

PyTorch Tutorial for Deep Learning Researchers

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

The hacker's browser.