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API Platform
Create REST and GraphQL APIs, scaffold Jamstack webapps
Create REST and GraphQL APIs, scaffold Jamstack webapps, stream changes in real-time. Build fully-featured hypermedia or GraphQL API in minutes. Leverage its awesome features to develop complex and high-performance API-first projects. Extend or override everything you want. API Platform is built on top of battle-tested products. The server skeleton includes the famous Symfony framework and the Doctrine ORM. Our scaffolding tool supports the most popular JavaScript libraries. The development... -
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OpenRW
Recreation of the classic Grand Theft Auto III game executable
OpenRW is a cross-platform, open-source re-implementation of the game engine behind Grand Theft Auto III (GTA III). Its goal is to recreate the original gameplay engine in a modern, maintainable codebase so that GTA III can run natively on modern Windows, Linux, macOS, and BSD systems — long after the original executable becomes unworkable. The project does not ship with game content: users still need a legitimate copy of GTA III (with its original assets) to play, making OpenRW strictly an... -
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Learn AI Engineering
Learn AI and LLMs from scratch using free resources
Learn AI Engineering is a learning path for AI engineering that consolidates high-quality, free resources across the full stack: math, Python foundations, machine learning, deep learning, LLMs, agents, tooling, and deployment. Rather than a loose bookmark list, it organizes topics into a progression so learners can start from fundamentals and move toward practical, production-oriented skills. It mixes courses, articles, code labs, and videos, emphasizing materials that teach both concepts... -
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Loop Engineering
Practical patterns, starters & CLI tools for loop engineering with AI
Loop Engineering is a practical reference repository for designing loop-based workflows with AI coding agents. It focuses on replacing repeated manual prompting with systems that prompt, verify, schedule, and hand off work over time. The project is aimed at developers using tools such as Grok, Claude Code, Codex, Cursor, and other coding agents. It explains core building blocks such as scheduling, worktrees, skills, plugins, connectors, sub-agents, and persistent memory or state. The... -
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Obsidian Local GPT
Local Ollama and OpenAI-like GPT's assistance for maximum privacy
Obsidian Local GPT is a plugin that embeds AI assistance directly into the Obsidian knowledge management environment while prioritizing privacy and local execution. It supports both local models through Ollama and OpenAI-compatible APIs, allowing users to choose between fully offline workflows or hybrid setups. The plugin introduces an “Action Palette” system that enables users to run predefined or custom AI-powered actions on selected text, notes, or entire documents. It integrates deeply... -
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Autoskills
One command. Your entire AI skill stack. Installed
The Autoskills project is a developer tool that automates the installation of AI agent skills based on a project’s technology stack. It operates through a simple command-line interface that scans configuration files such as package.json and build scripts to detect the frameworks, languages, and tools used in a project. Once the stack is identified, it automatically installs a curated set of AI skills tailored to those technologies, significantly reducing setup time for AI-assisted... -
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Gemini MCP Tool
MCP server that enables AI assistants to interact with Google Gemini
Gemini MCP Tool is a lightweight MCP server that enables AI assistants to interface directly with the Google Gemini CLI, effectively extending the capabilities of one AI system by leveraging another. Its primary purpose is to allow tools like Claude or other MCP-compatible agents to offload complex or large-scale analysis tasks to Gemini, particularly when working with large files or codebases. The system takes advantage of Gemini’s large context window, enabling deeper analysis of extensive... -
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machine learning tutorials
machine learning tutorials (mainly in Python3)
machine-learning is a continuously updated repository documenting the author’s learning journey through data science and machine learning topics using practical tutorials and experiments. The project presents educational notebooks that combine mathematical explanations with code implementations using Python’s scientific computing ecosystem. Topics covered include classical machine learning algorithms, deep learning models, reinforcement learning, model deployment, and time-series analysis.... -
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multi-agent-shogun
Samurai-inspired multi-agent system for Claude Code
multi-agent-shogun is a multi-agent orchestration system designed to coordinate multiple AI coding agents working in parallel. Inspired by the hierarchy of a feudal Japanese military structure, the system organizes agents into roles such as Shogun, Karo, and Ashigaru, which correspond to strategist, coordinator, and worker agents. A user interacts primarily with the Shogun agent by issuing natural language instructions that describe the desired tasks. The system then automatically... -
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ChatJS
Production-ready AI chat. Start here and make it your own
ChatJS is a production-ready AI chat foundation for developers who want to launch customizable chat applications without rebuilding common infrastructure from scratch. The project presents itself as a starting point that already includes authentication, model access, streaming, and tool support so teams can focus on their own product-specific features. Its stack is centered on modern TypeScript web development, using technologies such as Next.js, AI SDK tooling, PostgreSQL, Redis, and... -
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AI Agents From Scratch
Demystify AI agents by building them yourself. Local LLMs
AI Agents from Scratch is an educational repository designed to teach developers how to build autonomous AI agents using large language models and modern AI frameworks. The project walks through the process of constructing agents step by step, beginning with simple prompt-based interactions and gradually introducing more advanced capabilities such as planning, tool use, and memory. The repository provides example implementations that demonstrate how language models can interact with external... -
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mgrep
A calm, CLI-native way to semantically grep everything, like code
This project is a modern, semantic search tool that brings the simplicity of traditional command-line grep to the world of natural language and multimodal content, enabling users to search across codebases, documents, PDFs, and even images using meaning-aware queries. Built with a focus on calm CLI experiences, it lets you index and query your local files with semantic understanding, delivering results that are relevant to your intent rather than simple pattern matches, which is especially... -
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ML Sharp
Sharp Monocular View Synthesis in Less Than a Second
ML Sharp is a research code release that turns a single 2D photograph into a photorealistic 3D representation that can be rendered from nearby viewpoints. Instead of requiring multi-view input, it predicts the parameters of a 3D Gaussian scene representation directly from one image using a single forward pass through a neural network. The core idea is speed: the 3D representation is produced in under a second on a standard GPU, and then the resulting scene can be rendered in real time to... -
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n-skills
Curated plugin marketplace for AI agents
n-skills is a curated plugin marketplace and universal skills collection for AI coding agents that standardizes how skills are defined, discovered, and installed across multiple frameworks and agent platforms. It organizes skills into categories such as workflow orchestration, tools, automation, and documentation support, making it easy for developers to add capabilities like browser automation, multi-agent workflow coordination, or repo maintenance assistance. The repository includes a... -
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Unsloth-MLX
Bringing the Unsloth experience to Mac users via Apple's MLX framework
Unsloth-MLX offers developers the power of Unsloth’s efficient large language model fine-tuning experience on Apple Silicon Macs by wrapping Apple’s native MLX framework with an API fully compatible with Unsloth workflows. This project removes traditional barriers that prevent Mac users from prototyping and experimenting with LLM training locally by allowing the same code used in cloud GPU environments to run on M-series hardware, improving workflow continuity and reducing iteration costs.... -
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City Map Poster Generator
Transform your favorite cities into beautiful, minimalist designs
maptoposter is a code-driven poster generator that turns any city into a minimalist, print-style map artwork with consistent typography and themed color palettes. It is built around a simple command-line flow where you pass a city and country, and the tool fetches the relevant map geometry and renders it into a clean composition that looks like a design product rather than a raw GIS export. The repository includes a library of predefined themes that change the overall look (for example,... -
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Context Engineering Template
Context engineering is the new vibe coding
Context Engineering Template is a comprehensive template and workflow repository designed to teach and implement context engineering, a structured approach to preparing and organizing the information necessary for AI coding assistants to complete complex tasks reliably. Instead of relying solely on short prompts, this project encourages developers to create rich, structured context files that include project rules, examples, and validation criteria so that AI systems can act more like... -
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Agently 4
Build GenAI application quick and easy
Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. The project aims at... -
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Ansible for DevOps
Ansible for DevOps examples
Ansible for DevOps is a collection of Ansible playbooks, roles, and infrastructure-as-code examples that accompany the book Ansible for DevOps by Jeff Geerling. Rather than being theoretical, the examples span real-world infrastructure setups: multi-server orchestration, LAMP stacks, Docker deployments, Kubernetes cluster spins, rolling updates, and security hardening. You can clone the repo and play with actual scenarios using Vagrant, VirtualBox, or cloud hosts, making it ideal for both... -
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Front-End Performance Checklist
The only Front-End Performance Checklist that runs faster
Front-End-Performance-Checklist is a comprehensive, developer-friendly guide that consolidates the most impactful client-side performance practices into a single, scannable resource. It frames performance as a front-end responsibility and turns broad principles into concrete, verifiable checks you can apply before shipping. The checklist is organized by areas such as HTML, CSS, JavaScript, fonts, images, and network delivery, so teams can tackle bottlenecks systematically. Each section... -
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phpunit/php-timer
Utility class for timing
php-timer is a tiny utility library that provides high-resolution timing for PHP scripts, originating from the PHPUnit ecosystem. It wraps PHP’s underlying timing functions to give consistent start/stop measurements even across different PHP versions and environments. The library’s API is intentionally small so you can drop it into tests, benchmarks, and command-line tools without overhead. Beyond raw seconds, it can format durations into human-readable strings, which is especially handy for... -
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SwissGL
SwissGL is a minimalistic wrapper on top of WebGL2 JS API
SwissGL is a compact JavaScript library that provides a streamlined abstraction layer over the WebGL2 API, designed to minimize boilerplate when building GPU-accelerated graphics, simulations, and procedural visualizations. Acting as a "Swiss Army knife" for WebGL2, it simplifies shader, texture, and framebuffer management into a single, expressive interface that enables developers to write complex GPU workflows in just a few lines of code. The library centers around one main function that... -
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Tunix
A JAX-native LLM Post-Training Library
Tunix is a JAX-native library for post-training large language models, bringing supervised fine-tuning, reinforcement learning–based alignment, and knowledge distillation into one coherent toolkit. It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation,... -
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4M
4M: Massively Multimodal Masked Modeling
4M is a training framework for “any-to-any” vision foundation models that uses tokenization and masking to scale across many modalities and tasks. The same model family can classify, segment, detect, caption, and even generate images, with a single interface for both discriminative and generative use. The repository releases code and models for multiple variants (e.g., 4M-7 and 4M-21), emphasizing transfer to unseen tasks and modalities. Training/inference configs and issues discuss things... -
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JEPA
PyTorch code and models for V-JEPA self-supervised learning from video
JEPA (Joint-Embedding Predictive Architecture) captures the idea of predicting missing high-level representations rather than reconstructing pixels, aiming for robust, scalable self-supervised learning. A context encoder ingests visible regions and predicts target embeddings for masked regions produced by a separate target encoder, avoiding low-level reconstruction losses that can overfit to texture. This makes learning focus on semantics and structure, yielding features that transfer well...
