andrewherren Goto Github PK

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

andrewherren

andrewherren.github.io

Drew Herren's personal webpage

arborist-api

API for stochastic tree ensembles using FastAPI for AWS Lamda deployment.

bartreadinggroup

BART and Posterior Summarization Reading Group at UT Austin

bayeslm

bcf

Bayesian Causal Forests

bcf2

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

dissertation-experiments

Code for experiments and simulation studies run in my PhD dissertation

dotfiles

explainability-analysis

Analysis of several techniques for model explainability

geb

Adventures in Hofstadter's Goedel, Escher, Bach

implementations

Implementations of common algorithms / statistical methods for didactic purposes

minimalist_tree

Minimalist C++ implementation of decision tree algorithms

natural-language-playground

Initial explorations in natural language processing

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

oscar-explainability

Model explainability using the OSCAR algorithm

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

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

pymc-experimental

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