Lecture Notes for Linear Algebra Featuring Python

Developer Cheatsheets

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

Google's Causal Impact Algorithm Implemented on Top of TensorFlow Probability

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

A machine learning library for detecting anomalies in signals.

Code for the book on python for social scientists

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)