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alps_2021

Repository for the Explainable AI track in the ALPS winter school 2021

bda_py_demos

Bayesian Data Analysis demos for Python

gpflowsampling

Code for efficiently sampling functions from GP(flow) posteriors

horseshoe-bnn

A Bayesian Neural Network with a horseshoe prior for improved interpretability

iglu

julia-mit

Tutorials and information on the Julia language for MIT numerical-computation courses.

lectures

This repository includes my lecture notes for some of the courses I have been teaching at UC Irvine. I will keep updating them over time.

mltrain-nips-2017

This repository contains all the material for the MLTrain NIPS workshop

numpy-ml

Machine learning, in numpy

phd-thesis

Repository of my thesis "Understanding Random Forests"

pmangg.github.io

samplemod

shifts

This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.

sicp-pdf

SICP in PDF

sinkhorn-barycenters

Sinkhorn Barycenters via Frank-Wolfe algorithm

snorkel

A system for quickly generating training data with weak supervision

snorkel-tutorials

A collection of tutorials for Snorkel

svmjs

Support Vector Machine in Javascript (SMO algorithm, supports arbitrary kernels) + GUI demo

wgpot

The Wasserstein Distance and Optimal Transport Map of Gaussian Processes