Lists (3)
Stars
An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Ongoing research training transformer models at scale
🚀 Efficient implementations of state-of-the-art linear attention models
Easiest and laziest way for building multi-agent LLMs applications.
Protocol Buffers - Google's data interchange format
SGLang is a fast serving framework for large language models and vision language models.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Visualizer for neural network, deep learning and machine learning models
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
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…
Development repository for the Triton language and compiler
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
A high-throughput and memory-efficient inference and serving engine for LLMs
StyleX is the styling system for ambitious user interfaces.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
PyTorch native quantization and sparsity for training and inference
oneAPI Deep Neural Network Library (oneDNN)
Open deep learning compiler stack for cpu, gpu and specialized accelerators
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Distributed K-FAC preconditioner for PyTorch
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Seamless operability between C++11 and Python