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198 apps projects. End-user AI applications you can run or self-host.
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This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
🧠 Leon is your open-source personal assistant.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Python Implementation of Reinforcement Learning: An Introduction
Graph-Native Infrastructure for Context and Accountable AI Systems
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Refine high-quality datasets and visual AI models
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Best Practices, code samples, and documentation for Computer Vision.
An Application Framework for AI Engineering
🏰 An exciting game of programming and Artificial Intelligence
The Generative AI Landscape - A Collection of Awesome Generative AI Applications
⚙️🦀 Build modular and scalable LLM Applications in Rust
🧙 Build, run, and manage data pipelines for integrating and transforming data.
👀 Train a 65M-parameter VLM from scratch in just 2h!
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch