21 Lessons, Get Started Building with Generative AI

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

Examples and guides for using the OpenAI API

12 Lessons to Get Started Building AI Agents

This is a repo with links to everything you'd ever want to learn about data engineering

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security,…

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

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 mode…

💿 Free software that works great, and also happens to be open-source Python.

Examples and guides for using the Gemini API

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术

Tutorials and programming exercises for learning Q# and quantum computing

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

The Python Code Tutorials

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

Computational Fluid Dynamics in JAX

This is the companion repo of the O'Reilly book "Python for Excel".

Investigating PINNs

PyTorch Implementation of Physics-informed Neural Networks

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

Lecture material for machine learning applied to computational fluid mechanics

Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

This repository containts materials for End-to-End AI for Science