Repository Index

21 Lessons, Get Started Building with Generative AI

• ai
• chatgpt
• dall-e
• generativeai

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

• gpt
• large-language-models
• llm
• python

Learn how to develop, deploy and iterate on production-grade ML applications.

• machine-learning
• deep-learning
• pytorch
• natural-language-processing

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

• rag
• tutorials
• langchain
• llama-index

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

• artificial-intelligence
• book
• large-language-models
• llm

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

• agents
• genai
• tutorials
• langchain

Translated✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]

• book
• chinese
• computer-vision
• deep-learning

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

• agent
• agent-framework
• agents
• ai-agents

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

• machine-learning
• trading
• investment
• finance

TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.

• deep-learning
• deep-learning-tutorial
• pytorch
• pytorch-tutorial

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

• ai
• finetuning
• langchain
• llama

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

• gemini
• gemini-api

Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform

• generative-ai
• llm
• vertex-ai
• langchain

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

• csharp
• java
• javascript
• mcp

Natural Language Processing Tutorial for Deep Learning Researchers

• nlp
• natural-language-processing
• tutorial
• pytorch

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

• computer-vision
• deep-learning
• drug-discovery
• forecasting

TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/

• langchain
• rag

YSDA course in Natural Language Processing

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

tutorials made for biologists to learn deep learning

• biologists
• keras
• deeplearning
• deep-learning

Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.

• data-science
• deep-learning
• finance
• financial-data