程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

An open-source C++ library developed and used at Facebook.

Cross-platform Rust rewrite of the GNU coreutils

Truly independent web browser

High-level tracing language for Linux

A library to analyze PyTorch traces.

Stack trace visualizer

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

Explore the power of Asio executors with c++20 coroutine

Coroutines for C++20 & asio

Asio C++ Library

Linux kernel source tree

Event notification library

The fastest feature-rich C++11/14/17/20/23 single-header testing framework

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

A library of C++ coroutine abstractions for the coroutines TS

common in-memory tensor structure

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

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

CUDA Core Compute Libraries

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

NumPy aware dynamic Python compiler using LLVM

The property-based testing library for Python

🚀 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…

A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, please visit/star/fork https://github.com/PKU-DAIR/Hetu

A simple deep learning framework in pure python for purpose of learning in DL

【2024年新版】国科大 陈云霁 智能计算系统AICS实验代码

nanobind: tiny and efficient C++/Python bindings

Efficiently computes derivatives of NumPy code.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.