Official Inference Code of EAGLE-4
Offline multi-speaker meeting-speech toolkit: planted-ground-truth synthetic meeting factory, VAD, speaker embeddings, diarization (AHC/spectral/VB-HMM), overlap detection, CTC speaker-attributed ASR, cpWER/DER/JER evaluation, online streaming mode, deterministic reports. NumPy core, CPU-only torch extra.
Code for Trajectory-Level Speculation with Semantic Verification for Tool-Using Agents
๐ซ Toolkit to help you get started with SDD or any other process!
Breakthrough Method for Agile Ai Driven Development
GUI for a Vocal Remover that uses Deep Neural Networks.
A configuration framework that enhances Claude Code with specialized commands, cognitive personas, and development methodologies.
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.
Awesome Privacy - A curated list of services and alternatives that respect your privacy because PRIVACY MATTERS.
Datasets, Transforms and Models specific to Computer Vision
๐๏ธ ไธ็ๅ ญ้จๅถ ยท OpenClaw Multi-Agent Orchestration System โ 9 specialized AI agents with real-time dashboard, model config, and full audit trails
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
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. ๐https://aka.ms/RD-Agent-Tech-Report
Unified framework for building enterprise RAG pipelines with small, specialized models
67 Specialized Skills for Full-Stack Developers. Transform Claude Code into your expert pair programmer.
GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website โ citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community
๐ฆ Never use print() to debug again.
Wi-Fi CSI motion sensing for ESP32. C++ SDK, ESPHome, Native, and Matter frontends, browser tools, and a CLI for the full device lifecycle. GPLv3 and commercial licensing.
The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
Light, flexible and extensible ASGI framework | Built to scale
claude-red is a curated library of offensive security skills designed for the Claude skills system. Each skill is a structured SKILL.md file that primes Claude with expert-level methodology for a specific attack surface โ from SQLi to shellcode, EDR evasion to exploit development.
A specialized Claude Code workspace for creating long-form, SEO-optimized blog content for any business. This system helps you research, write, analyze, and optimize content that ranks well and serves your target audience.
Automatic integrate all Xiaomi devices to HomeAssistant via miot-spec, support Wi-Fi, BLE, ZigBee devices. ๅฐ็ฑณ็ฑณๅฎถๆบ่ฝๅฎถๅฑ ่ฎพๅคๆฅๅ ฅHass้ๆ
CloudEvents Specification
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
AI-powered virtual executive team โ a single coherent executive persona backed by 8 specialist agents (FastAPI + Next.js).
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
CommonMark spec, with reference implementations in C and JavaScript
An implementation of the JSON Schema specification for Python
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
Connexion is a modern Python web framework that makes spec-first and api-first development easy.
A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.
Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4ร faster than Apple's MLX (mlx-lm) on the same weights.
Ethereum Consensus Specifications
Automated generation of real Swagger/OpenAPI 2.0 schemas from Django REST Framework code.
Specification and documentation for the Universal Commerce Protocol (UCP)
Open-source AI agent for B2B lead generation โ describe your product, it finds the people who fit, explains why each one does, and emails them from your mailbox. Self-hosted CLI, one install.
Intercept and inspect Coding Agent API traffic from Claude Code, Codex CLI, Gemini CLI, Cursor CLI, OpenCode, Kimi/Kimi Code, Pi, and Hermes in a local trace viewer.
Claude Code skill: four-phase plan hardening (recon, interrogate, Codex adversarial review, cross-model build & inspection) โ two AI models harden your plan before a line of code exists, then swap jobs to build it. Whoever built it never grades it.
Modding platform for GI, HSR, WW and ZZZ
Interesting APT Report Collection And Some Special IOCs
Inspect: A framework for large language model evaluations
NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.
A generic, spec-compliant, thorough implementation of the OAuth request-signing logic
PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
Lets Git started in the world of opensource, starting in the Zero To Mastery's opensource playground. Especially designed for education and practical experience purposes.
Colour Science for Python
๐๏ธ Open Source Audio Matching and Mastering
A Calibre plugin to translate ebook into a specified language.
The fastest way to run Qwen 3.8 Flash Next, Qwen 3.8 27B and Ternary Bonsai 2 27B on a Mac: 125 tok/s in OpenCode on an M5 Max, and a 27B model on 16 GB Macs. Native MTP speculative decoding on Apple Silicon, exact at any temperature. OpenAI and Anthropic compatible local server.
Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing information and emotions respectively, while a fully streaming architecture eliminates latency at the fundamental level.
Real-time ADS-B notifications for specific aircraft takeoffs and landings. Supports output many platforms.
:bar_chart: The statistical analysis tool for git repositories
Apache Ossie, industry wide specification effort to standardize how we exchange semantic metadata across analytics, AI and BI platforms, providing a vendor neutral, single source of truth for semantic data
SDG is a specialized framework designed to generate high-quality structured tabular data.
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
The BGP swiss army knife of networking
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.