Popular GitHub Repositories for Cpp

AI Code Completions

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

CUDA Templates for Linear Algebra Subroutines

Facebook AI Research's Automatic Speech Recognition Toolkit

A flexible, high-performance serving system for machine learning models

AI + Data, online. https://vespa.ai

High Performance Chinese License Plate Recognition Framework.

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, support 11 programming languages

TEN Agent is a conversational voice AI agent powered by TEN, integrating Deepseek, Gemini, OpenAI, RTC, and hardware like ESP32. It enables realtime AI capabilities like seeing, hearing, and speaking, and is fully compatible with platforms like Dify and Coze.

A C++ standalone library for machine learning

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

oneAPI Deep Neural Network Library (oneDNN)

Tensorflow prebuilt binary for Windows

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

A deep learning package for many-body potential energy representation and molecular dynamics

Several simple examples for popular neural network toolkits calling custom CUDA operators.

Visual Studio Code client for Tabnine. https://marketplace.visualstudio.com/items?itemName=TabNine.tabnine-vscode

Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, LicheePi4A etc.