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

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

• ml
• data-science
• machine-learning
• machine-learning-algorithms

12 Weeks, 24 Lessons, AI for All!

• deep-learning
• artificial-intelligence
• machine-learning
• ai

Python Data Science Handbook: full text in Jupyter Notebooks

• scikit-learn
• numpy
• python
• jupyter-notebook

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

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

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼

• data-engineering
• kafka
• spark
• dbt

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

• apachespark
• awesome
• bigdata
• data

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

• tensorflow
• tutorial
• examples
• deep-learning

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

• agents
• ai
• llms
• machine-learning

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

• rag
• tutorials
• langchain
• llama-index

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, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org

• hacking
• penetration-testing
• hacking-series
• cybersecurity

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

• tensorflow
• scikit-learn
• machine-learning
• python

The fastai book, published as Jupyter Notebooks

• notebooks
• fastai
• deep-learning
• machine-learning

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

• agents
• genai
• tutorials
• langchain

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

• python
• jupyter
• jupyter-notebook
• machine-learning

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

Learn OpenCV : C++ and Python Examples

• computer-vision
• machine-learning
• ai
• deep-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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

• machine-learning
• trading
• investment
• finance

TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.

• pytorch
• pytorch-tutorials
• pytorch-handbook
• deep-learning

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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