hwunrow Goto Github PK

amath584

Course projects from a graduate course in applied linear algebra And numerical analysis taken at the University of Washington

apd_public

Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bayesian-cyclegan

[TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

behavioral-safegraph

billiard_dynamics

Undergraduate honors thesis on the Birkhoff conjecture for convex billiards.

blog

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

champ

data-assimilation-window

Explore different assimilation window methods for epidemiological models.

dismod_mr

An Integrative Metaregression Framework for Descriptive Epidemiology

e6691_2024spring_paperreviewsrepo_shared

epyfilter

fhs_2019_population_paper

GATHER compliant code for FHS 2019 population forecast

github-slideshow

A robot powered training repository :robot:

github_training

Github training for research group adapted from swcarpentry (https://swcarpentry.github.io/git-novice/)

gsmm23-filtering

hwunrow-archive.github.io

hwunrow.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

intro-numerical-methods

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

kaggle_income

Course kaggle competition to predict income using US census data. Placed in top 10 out of 50 students.

mamba

numerical-methods-pdes

Jupyter notebook class notes for Numerical Methods for PDEs

parsimony_pop_genetics

Course project implementing the nearest-neighborhood interchange (NNI) tree search algorithm for parsimony analysis to analyze population genetics data.

pompjax

Partially Observed Markov process with JAX backbone

probabilistic-programming-and-bayesian-methods-for-hackers-1

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 ;)

seoul_subway

Implementation of Dijkstra's Algorithm to find the minimum distance path between stations in the Seoul Subway.

xarray

N-D labeled arrays and datasets in Python