Stars
Collection of extracted System Prompts from popular chatbots like ChatGPT, Claude & Gemini
The /llms.txt file, helping language models use your website
Model Context Protocol Servers
Learn ML engineering for free in 4 months!
Task-adaptive Framework for the Control of Multi-Agent Systems Through Natural Language
Cross-platform, customizable ML solutions for live and streaming media.
ShelfSight: An AI-Driven Object Detection for Empty Shelf Analytics
ML & DL roadmap with curated resources like videos, articles, research-papers, competitions, projects etc.
Free MLOps course from DataTalks.Club
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
Repo containing code for multi-agent deep reinforcement learning (MADRL).
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.
Tesseract Open Source OCR Engine (main repository)
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
OCR & Document Extraction using vision models
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
An extremely fast Python linter and code formatter, written in Rust.
An extremely fast Python package and project manager, written in Rust.
Open-Source RAG app with LLM Observability (Langfuse), support for 100+ providers (LiteLLM), Dockerized, Full Type-checking, 100% Test coverage, and more...
Microsoft 365 & Microsoft Graph Library for Python
Access, upload, download, and do much more with OneDrive using Microsoft Graph API (Python code).
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
Code and documentation to train Stanford's Alpaca models, and generate the data.