AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.

Model Context Protocol Servers

Sample Project for an MLOps 101 course I taught

⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered business intelligence in seconds.

Simple, unified interface to multiple Generative AI providers

A curated list of 100+ libraries and frameworks for AI engineers building with LLMs

purpose of this repo is to Implement LLMOPs as shared in Deeplearning AI course

Learn ML engineering for free in 4 months! Register here 👇🏼

A multi-voice TTS system trained with an emphasis on quality

A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you

Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!

Awesome LLM Books: Curated list of books on Large Language Models

Repository with code examples of mlflow

RAG Time: A 5-week Learning Journey to Mastering RAG

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 👇🏼

Code and Slides

[TKDE'25] The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".

📝 Today I Learned

Today I Learned

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

STATS285 course website

Mastering Applied AI, One Concept at a Time

Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks

Learn CUDA Programming, published by Packt

Build a Perplexity-Inspired Answer Engine Using Next.js, Groq, Llama-3, Langchain, OpenAI, Upstash, Brave & Serper

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data