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 ;)

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.

Data and code behind the articles and graphics at FiveThirtyEight

Companion webpage to the book "Mathematics For Machine Learning"

PRML algorithms implemented in Python

Python code for "Probabilistic Machine learning" book by Kevin Murphy

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Book about interpretable machine learning

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

NMA Computational Neuroscience course

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…

Solutions of Reinforcement Learning, An Introduction

PyMC educational resources

Notebooks about Bayesian methods for machine learning

A collection of work related to COVID-19

A list of NLP(Natural Language Processing) tutorials

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

NMA deep learning course

This repository hosts the code behind the online book, Coding for Economists.

A repo for the pre-course work at home exercises

ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the u…

Statistical Rethinking (2nd ed.) with NumPyro

Tutorial for International Summer School on Deep Learning, 2019

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

Practical guidance for time series analysis in Python