google / googletest
GoogleTest - Google Testing and Mocking Framework
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GoogleTest - Google Testing and Mocking Framework
Fast C++ logging library.
ClickHouse® is a free analytics DBMS for big data
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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)
The new Windows Terminal and the original Windows console host, all in the same place!
Windows Package Manager CLI (aka winget)
A C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.
A YAML parser and emitter in C++
FoundationDB - the open source, distributed, transactional key-value store
Open3D: A Modern Library for 3D Data Processing
CUDA Templates for Linear Algebra Subroutines
A simple C++/OpenGL application to create quick and dirty mathematically accurate animations
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Open Source Routing Engine for OpenStreetMap
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.
The official Open-Asset-Importer-Library Repository. Loads 40+ 3D-file-formats into one unified and clean data structure.
Filament is a real-time physically based rendering engine for Android, iOS, Windows, Linux, macOS, and WebGL2
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
An Open Source Machine Learning Framework for Everyone
JUCE is an open-source cross-platform C++ application framework for desktop and mobile applications, including VST, VST3, AU, AUv3, RTAS and AAX audio plug-ins.
A library for efficient similarity search and clustering of dense vectors.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.