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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）

💫 Industrial-strength Natural Language Processing (NLP) in Python

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".

Affordable Industrial Grade Motion Control

A distributed MQTT message broker based on Erlang/OTP. Built for high quality & Industrial use cases. The VerneMQ mission is active & the project maintained. Thank you for your support!

Industrial-strength monadic parser combinator library

Ethernet/IP (Common Industrial Protocol) stack in C++. This started as a C to C++ conversion of C based OpENer.

Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.

Simple and Fast Barcode decoder with support of Code128, Code93, Code39, Standard/Industrial 2 of 5, Interleaved 2 of 5, Codabar, EAN-13, EAN-8 barcodes in javascript.

Ultimate Internet of Things/Industrial Control Systems reconnaissance tool.

Modern industrial mod for Minecraft.

Open Source Industrial IoT Platform | 300+ protocols | 6-min deploy | Modbus OPC UA MQTT | 12K Stars

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

Maybe the world's fastest logging library. Lightweight & industrial-grade, battle-tested in Honor of Kings. C++/Python/Java/C#/Kotlin/TS/Go, Unity/Unreal/HarmonyOS. 可能是全球最快的日志库——轻量级且工业级，源自《王者荣耀》，支持多语言多平台

An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System

Deep-Learning framework for Engineering AI. Built on transformer building blocks, it delivers the full engineering stack, allowing teams to build, train, and operate industrial simulation models across engineering verticals.

A SOTA Industrial-Grade Voice Activity Detection & Audio Event Detection, supporting 100+ languages, outperforming Silero-VAD, TEN-VAD, FunASR-VAD and WebRTC-VAD

短剧平台 AI Short Film Motion Comic Generation Platform Industrial AI Motion Comic & Video Workbench

One core. Every platform. SweetEditor is an industrial-grade C++17 code editor engine delivering native, IDE-class editing on Android, iOS, macOS, Windows, Web, and Swing with blazing performance and unified behavior.

Browser-based 3D-HMI for industrial automation — Three.js/TypeScript viewer for realvirtual digital twins

A Claude Code skill for generating UI in the Nothing design language. Monochrome, typographic, industrial.

Industrial design files for Keychron keyboards and mice. 100+ models with CAD assets in STEP, DXF, DWG, and PDF. Source-available, with commercial use allowed for original compatible accessories within the license terms.

OpenTalking: An industrial-grade open-source AI digital human framework that supports real-time conversation, private deployment, and pluggable models.

Project Tapestry aims to give every nation and participant frontier AI they can call their own — uniting a global consortium to train a shared frontier model from which partners build and own sovereign models aligned to their national, socio-cultural, and industrial needs.

76 audit-ready Claude skills automating the industrial robot, cobot, AMR, ROS2, V&V, AI/ML, and IEC 62443 lifecycle. 38 builder + reviewer pairs anchored to ISO 10218, 13849, 62061, 12100, 9283, 15066, 3691-4, and IEC 62443.

Industrial audio online policy distillation (OPD) training stack for ASR and TTS, distilling compact audio models from stronger teacher models.

《推荐系统：工业架构与核心算法》AI Native 书稿｜章节 PDF、知识地图与本地学习 Agent， 网址：https://jhljx.github.io/RecSys-Industrial-Book/

The project integrates the RAG and FAQ dual mechanisms, introduces intent recognition, dynamic adaptive retrieval, and the RAGAS automated evaluation system, achieving a transformation from empirical optimization to data-driven optimization.