Textbook for KIN 482 at UBC

The python version of DSCI 100 student repo

Examples of PyMC models, including a library of Jupyter notebooks.

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Summer course content for Neuromatch Academy

Analysis for experiments looking at adaptation and proprioception

Neuromechanics_Course_2020

A repo for the pre-course work at home exercises

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

Honor's Thesis Project (Supervised by Darius Parvin and Richard Ivry)