Stars
An unidentifiable mechanism that helps you bypass GFW.
ArduPlane, ArduCopter, ArduRover, ArduSub source
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
Automatic License Plate Recognition library
A simple C++11 Thread Pool implementation
High-performance proxy for MySQL and PostgreSQL
Instant Kubernetes-Native Application Observability
High Performance Chinese License Plate Recognition Framework.
FISCO BCOS（发音为/ˈfɪskl bi:ˈkɒz/）是一个稳定、高效、安全的许可区块链平台，已被广泛应用于现实的行业应用。截至目前，已拥有5000多家企事业单位，400多个产业数字化标杆应用，涵盖文化版权、司法服务、政府服务、物联网、金融、智慧社区、房地产建设、社区治理、乡村振兴等领域。FISCO BCOS (pronounced /ˈfɪskl bi:ˈkɒz/) is a st…
Arduino lib to operate 433/315Mhz devices like power outlet sockets.
The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.
TinyChatEngine: On-Device LLM Inference Library
Open Robotics Automation Virtual Environment: An environment for testing, developing, and deploying robotics motion planning algorithms.
📣 商用级开源语音自动识别程序库，开箱即用，全平台支持，中英文混合识别。A Cross-platform implementation of ASR inference. It's based on ONNXRuntime and FunASR. We provide a set of easier APIs to call ASR models.
[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"
Vehicle Detection by Haar Cascades with OpenCV
Example source code from my TCP/IP Network Programming Design Patterns in C++ and TCP/IP Sockets with Time Out Capabilities blogs.
Breakout board for the Avago APDS-9960 proximity, light, RGB, and gesture sensor, made by SparkFun Electronics.
SparkFun APDS-9960 RGB/Gesture Sensor Arduino Library
A Toolkit for Running On-device Large Language Models (LLMs) in APP
Federated gradient boosted decision tree learning
PatchTable: Efficient Patch Queries for Large Datasets and Applications
General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems