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Efficient and easy multi-instance LLM serving
Toy Turing Machine for Introduction to Computing Theory of NJU CS. 南京大学计算机系研究生课程《计算理论导引》玩具图灵机
A flexible and efficient training framework for large-scale alignment tasks
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
A Massively Parallel Large Scale Self-Play Framework
Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training
Training and serving large-scale neural networks with auto parallelization.
A tool for extracting plain text from Wikipedia dumps
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Optimized primitives for collective multi-GPU communication
Collective communications library with various primitives for multi-machine training.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
😘 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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）
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A list of awesome compiler projects and papers for tensor computation and deep learning.
A high performance and generic framework for distributed DNN training
🚀 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…
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
The official GitHub mirror of the Chromium source