Python3 library for downloading YouTube Videos.

Awesome-LLM: a curated list of Large Language Model

Accessible large language models via k-bit quantization for PyTorch.

A collection of memory efficient attention operators implemented in the Triton language.

A Easy-to-understand TensorOp Matmul Tutorial

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Models and examples built with OneFlow

Easily benchmark machine learning models in PyTorch

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

Training material for Nsight developer tools

PyTorch tutorials.

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

CUDA Templates for Linear Algebra Subroutines

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Just a simplton trying to learn CUDA.

String styling for your terminal.

A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.

Sample codes for my CUDA programming book

关于书籍CUDA Programming使用了pycuda模块的Python版本的示例代码

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

代码 -《深度学习之PyTorch物体检测实战》

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）

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Reference implementations of MLPerf™ training benchmarks

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Unsupervised text tokenizer for Neural Network-based text generation.