DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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Python package built to ease deep learning on graph, on top of existing DL frameworks.
- deep-learning
- graph-neural-networks
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
- nlp
- embedding
- bert
- ernie
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
- model
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
🚀 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
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.