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stars
written in Jupyter Notebook
Clear filter
Python Data Science Handbook: full text in Jupyter Notebooks
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 ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Data and code behind the articles and graphics at FiveThirtyEight
Companion webpage to the book "Mathematics For Machine Learning"
This repository contains implementations and illustrative code to accompany DeepMind publications
The "Python Machine Learning (1st edition)" book code repository and info resource
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Notebooks and code for the book "Introduction to Machine Learning with Python"
Deep Learning Specialization by Andrew Ng on Coursera.
The "Python Machine Learning (2nd edition)" book code repository and info resource
Flax is a neural network library for JAX that is designed for flexibility.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
A course in reinforcement learning in the wild
Simple tutorials using Google's TensorFlow Framework
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.