[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

[ICLR 2024] Efficient Streaming Language Models with Attention Sinks

Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces

High Performance Inter-Thread Messaging Library

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

Toolkit for vision-guided quadrupedal locomotion research

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

Programmer's guide about how to cook at home.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

An Open Flexible Quadrotor Simulator

DMControl Generalization Benchmark

Motion imitation with deep reinforcement learning.

Nimble: Physics Engine for Biomechanics and Deep Learning

Documents used for grad school application

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Vector Neurons: A General Framework for SO(3)-Equivariant Networks

Repo for offline reinforcement learning methods

Efficient AutoRL script for any framework

An elegant PyTorch deep reinforcement learning library.

PHYRE is a benchmark for physical reasoning.

Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video

🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSy…

Caffe: a fast open framework for deep learning.