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A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
LLM training code for Databricks foundation models
A native PyTorch Library for large model training
MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化，也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
A series of large language models developed by Baichuan Intelligent Technology
A python library that provides common I/O interface across different storage backends.
🚀 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
Hackable and optimized Transformers building blocks, supporting a composable construction.
Fast and memory-efficient exact attention
A list of awesome compiler projects and papers for tensor computation and deep learning.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An open source implementation of CLIP.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
ModelScope: bring the notion of Model-as-a-Service to life.
C/C++ frontend for MLIR. Also features polyhedral optimizations, parallel optimizations, and more!
Scenic: A Jax Library for Computer Vision Research and Beyond
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.