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

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 deep learning library

A game theoretic approach to explain the output of any machine learning model.

Data and code behind the articles and graphics at FiveThirtyEight

Flax is a neural network library for JAX that is designed for flexibility.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

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…

A high performance implementation of HDBSCAN clustering.

PyMC educational resources

Experiments with Deep Learning

Simple and flexible progress bar for Jupyter Notebook and console

python partial dependence plot toolbox

Python library for Multi-Armed Bandits

(Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

Bayesian Analysis with Python (Second Edition)

How to do Bayesian statistical modelling using numpy and PyMC3

A collection of Bayesian data analysis recipes using PyMC3

optimization routines for hyperparameter tuning

Yet another black-box optimization library for Python

Music generation with Keras and LSTM

Educational resources

This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.