A tutorial for CUDA&PyTorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Optimized primitives for collective multi-GPU communication

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）

基于PaddlePaddle的自动化功能开发小组

PaddlePaddle Developer Community

《Machine Learning Systems: Design and Implementation》- Chinese Version

A self-learning tutorail for CUDA High Performance Programing.

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…

Fast and memory-efficient exact attention

A high-throughput and memory-efficient inference and serving engine for LLMs

Documentations for PaddlePaddle

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

飞桨护航计划集训营

OpenMMLab Pose Estimation Toolbox and Benchmark.

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

The C++ parallel algorithms library.

OpenMMLab Model Deployment Framework

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

CUDA Library Samples

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt