Free to explore · curated by OneWave AI
198 apps projects. End-user AI applications you can run or self-host.
Review is in progress. 1,004 projects are queued and none has been approved yet. Everything unreviewed is discovery metadata imported from GitHub — listed, not vetted.
Ranked by total stars at the last daily refresh. This is not stars earned during the selected period. Star counts in the AI category are known to be inflated by fake-star campaigns, so activity and license are shown first.
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.
Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic scoring, versioned JSON reports, and capability-gated account changes.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Build, Manage and Deploy AI/ML Systems
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
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
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
⚙️🦀 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!
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
Local-first chat history analyzer with AI. | 本地优先的 AI 聊天记录分析工具