Repository Index

Course Files for Complete Python 3 Bootcamp Course on Udemy

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"

TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)

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

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

• pytorch
• machine-learning
• deep-learning

One has no future if one couldn't teach themself.