PenghuiCheng/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
⚡ Building applications with LLMs through composability ⚡
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化 纯本地PAAS量化解决方案
Reference implementations of training benchmarks
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
An open autonomous driving platform