Drew Herren's repositories
semi-supervised-propensity
Code for the paper "Semi Supervised Propensity Score Estimation"
explainability-analysis
Analysis of several techniques for model explainability
implementations
Implementations of common algorithms / statistical methods for didactic purposes
BartReadingGroup
BART and Posterior Summarization Reading Group at UT Austin
dissertation-experiments
Code for experiments and simulation studies run in my PhD dissertation
shap-anova-examples
Code examples from the Arxiv release on the relationship between SHAP and functional ANOVA
andrewherren.github.io
Drew Herren's personal webpage
arborist-api
API for stochastic tree ensembles using FastAPI for AWS Lamda deployment.
covid-19-excess-deaths-tracker
Source code and data for The Economist's covid-19 excess deaths tracker
covid-19-the-economist-global-excess-deaths-model
The Economist's model to estimate excess deaths to the covid-19 pandemic
dbarts
Discrete Bayesian Additive Regression Trees Sampler
minimalist_tree
Minimalist C++ implementation of decision tree algorithms
oscar-explainability
Model explainability using the OSCAR algorithm
possum
POSterior SUMmarization
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pyDOE2
Design of experiments for Python
pyprobml
Python code for "Machine learning: a probabilistic perspective"
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
rethinking
Statistical Rethinking course and book package
scikit-learn
scikit-learn: machine learning in Python
scikit-tree
Flexible library for implementing and experimenting with tree methods, based on the scikit-learn tree codebase
shapley-regression
For calculating Shapley values via linear regression.
STP598sta
STP598-SpatiotemporalAnalysis-ASU-2021