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

Examples and guides for using the OpenAI API

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.

Anthropic's Interactive Prompt Engineering Tutorial

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

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…

Anthropic's educational courses

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

Free MLOps course from DataTalks.Club

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Python training for business analysts and traders

Python toolkit for quantitative finance

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …

100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.

This is Andrew NG Coursera Handwritten Notes.

LLM Finetuning with peft

A collection of guides and examples for the Gemma open models from Google.

Codes/Notebooks for AI Projects

Collection of notebook guides created by the Brev.dev team!

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning …

Guides focused on fundamental computer science concepts

Collection of scripts and notebooks for OpenAI's latest GPT OSS models

a framework for training sequence-level deep learning networks

Convolutional neural network analysis for predicting DNA sequence activity.