The "Python Machine Learning (1st edition)" book code repository and info resource

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Lab materials for the Full Stack Deep Learning Course

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

How to do Bayesian statistical modelling using numpy and PyMC3

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

Jupyter notebooks contributed by QuantEcon developers, users and the community

Implementation of SOM and GSOM

Python implementation of KNN and DTW classification algorithm

My personal blog