TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Probabilistic reasoning and statistical analysis in TensorFlow

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…

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Computations and statistics on manifolds with geometric structures.

Quantitative Interview Preparation Guide, updated version here ==>

Python code for "Multivariable Feedback Control"

Scikit-learn compatible decision trees beyond those offered in scikit-learn

Google AI Princeton control framework

Scripts used in the paper "Control of cell state transitions" by Rukhlenko et al.

A sphinx documentation helper, using the solution of Problem 185 from Project Euler as a test case.

Example of basic data analysis using machine learning in scikit-learn

Causal inference of connectivity between neurons

Matlab code for Parkinson's disease