A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

💻 C++ Functional Terminal User Interface. ❤️

A C++ library for interacting with JSON.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…

Portable and lightweight cross-platform desktop application development framework

The Fast Cross-Platform Package Manager

The WebAssembly Binary Toolkit

Crow is very fast and easy to use C++ micro web framework (inspired by Python Flask)

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

Mesh optimization library that makes meshes smaller and faster to render

High performance, multi-platform VNC client and server

a language for fast, portable data-parallel computation

oneAPI Threading Building Blocks (oneTBB)

Official doxygen git repository

header only, dependency-free deep learning framework in C++14

Ethereum miner with OpenCL, CUDA and stratum support

Interactive field-aligned mesh generator

mlpack: a fast, header-only C++ machine learning library

😎🏖️🐬 Your new, 𝙧𝙞𝙙𝙤𝙣𝙠𝙪𝙡𝙞𝙘𝙞𝙤𝙪𝙨𝙡𝙮 smart clipboard manager

Bloaty: a size profiler for binaries

Performance-portable, length-agnostic SIMD with runtime dispatch

LIEF - Library to Instrument Executable Formats (C++, Python, Rust)

Source code for pbrt, the renderer described in the third edition of "Physically Based Rendering: From Theory To Implementation", by Matt Pharr, Wenzel Jakob, and Greg Humphreys.

cuML - RAPIDS Machine Learning Library

Header-only C++/python library for fast approximate nearest neighbors

The Linux perf GUI for performance analysis.

ArrayFire: a general purpose GPU library.

Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib

Lightweight C++ command line option parser

PlaidML is a framework for making deep learning work everywhere.