Repository Index

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

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

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

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

• deep-learning
• machine-learning
• book
• notebook

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

Course Files for Complete Python 3 Bootcamp Course on Udemy

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

• python
• machine-learning
• deep-learning
• data-science

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

• bayesian-methods
• pymc
• mathematical-analysis
• jupyter-notebook

⛔️ 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

Neural Networks: Zero to Hero

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

TranslatedAn introductory LLM tutorial for developers, the Chinese version of Andrew Ng's large model course series

• cookbook
• llm

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

• python
• jupyter
• jupyter-notebook
• 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 programs, usually short, of considerable difficulty, to perfect particular skills.

• python
• python-3
• programming
• practice

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

Translated100-Days-Of-ML-Code Chinese version

• machine-learning
• python
• 100-days-of-ml-code
• chinese-simplified

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

Best Practices on Recommendation Systems

• machine-learning
• recommender
• ranking
• 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

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

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

• machine-learning
• trading
• investment
• finance

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