The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
Run iOS and macOS on non-Apple ARM64 hardware through UEFI.
Convert and edit files with a liquid-glass radial menu: start dragging a file, press Shift, drop it on a slice. Windows, Mac and Linux.
[CVPR 2026 Highlight] Official PyTorch implementation of MacTok, a masked 1D continuous image tokenizer that compresses images into just 64 or 128 tokens.
A calmer, redesigned media player built on the VLC engine, for Windows, Linux and macOS. Hover-only controls, seek bar previews, a music library, a drag-to-sync subtitle timeline, per-show presets, themes and auto-updates. Based on Juxtopposed's VLC redesign.
I am not a robot — a captcha solver for macOS: local model, Gemini vision, a stealth browser for checkbox captchas, RuCaptcha as the last resort. 2Captcha-compatible API and an MCP server.
ScaleNav: Scalable Internet Video Pretraining for Language-Conditioned Local Navigation
「セキュリティチェックして」の一言で、Mac・リポジトリ・GitHub・Vercel・AWS・Gmailを読み取り専用で横断点検する Claude Code スキル
Experimental macOS adapter for QAQLeonard/a7c2-fl23-research: A7C II 2.01, MSC USB handling, verified backups and explicit installation phases.
把一次软件发版变成一桌由麦当劳 MCP 真实菜单、预算和优惠核价生成的庆功餐,并生成可分享的 Release 小票。
Professional photo editing and catalog software for Windows. Organize, edit, retouch and export images with powerful tools, presets and non-destructive workflow.
🎮 Каталог и гайд на русском: декомпиляции, рекомпиляции и нативные порты игр — Zelda, Mario 64, Sonic, Diablo, GTA на ПК, Mac, Linux, Android и в браузере без эмулятора. 2100+ проектов, топ, FAQ, как декомпилировать самому
simulation-ready chemistry lab instruments: part-level geometry, joints, executable behaviour models and machine-readable contracts
Silence iOS call-recording disclosure tones over USB — no app, no jailbreak, no signing, no VPN. macOS, one cable. Verified on iOS 27.0.1 (24A446).
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A curated list of awesome Machine Learning frameworks, libraries and software.
Open Data Platform for analysts, quants and AI agents.
Learn AI Engineering! Learn it. Build it. Ship it for others.
scikit-learn: machine learning in Python
Deep Learning for humans
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
We write your reusable computer vision tools. 💜
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A community-supported supercharged document management system: scan, index and archive all your documents
Streamlit — A faster way to build and share data apps.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, macOS and Windows operating systems.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Universal LLM Deployment Engine with ML Compilation
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
100-Days-Of-ML-Code中文版
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Best Practices on Recommendation Systems
Open standard for machine learning interoperability
Generate audiobooks from e-books, voice cloning & 1158+ languages!
Machine Learning Engineering Open Book
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
Daemon to ban hosts that cause multiple authentication errors
Experience macOS just like before
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Datasets, Transforms and Models specific to Computer Vision
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.
🦉 Data Versioning and ML Experiments
A hyperparameter optimization framework