Every work in the library, top first
Free to explore · curated by OneWave AI
1,407 apps, agents and plugins from GitHub, ranked on how actively they are maintained rather than on stars. Security review is in progress and every project shows exactly what has and has not been checked.
Review is in progress. 1,407 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.
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
AirLLM 70B inference with single 4GB GPU
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Data Apps & Dashboards for Python. No JavaScript Required.
Best Practices on Recommendation Systems
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
The Cloud Native AI Platform
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
🌊深度整合全球顶尖学术、金融与教育资源：学术板块汇聚 JSTOR、Taylor & Francis、剑桥大学出版社等权威平台的论文，并接入 Z-Library 影子图书馆的海量电子书；教育板块收录香港、新加坡从小学到高中以及大学学科教科书；金融板块则聚合香橼、摩根、野村等顶级机构的深度研报，只为打破信息孤岛，构建知识平权普惠知识库。
Best Practices, code samples, and documentation for Computer Vision.
[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!
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Optimize prompts, code, and more with AI-powered Reflective Optimization
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.