Han Yong Wunrow (hwunrow)

hwunrow

Geek Repo

Company:Columbia University

Location:New York, NY

Home Page:hwunrow.github.io

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Organizations
bssw-psip

Han Yong Wunrow's repositories

amath584

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

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kaggle_income

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

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apd_public

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

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Bayesian-CycleGAN

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

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bayesian_changepoint_detection

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

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billiard_dynamics

Undergraduate honors thesis on the Birkhoff conjecture for convex billiards.

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parsimony_pop_genetics

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

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seoul_subway

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

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bootstrap

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

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data-assimilation-window

Explore different assimilation window methods for epidemiological models.

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dismod_mr

An Integrative Metaregression Framework for Descriptive Epidemiology

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fhs_2019_population_paper

GATHER compliant code for FHS 2019 population forecast

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github-slideshow

A robot powered training repository :robot:

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github_training

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

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hwunrow.github.io

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

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intro-numerical-methods

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

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numerical-methods-pdes

Jupyter notebook class notes for Numerical Methods for PDEs

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pompjax

Partially Observed Markov process with JAX backbone

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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 ;)

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pytorch_geometric

Graph Neural Network Library for PyTorch

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pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

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xarray

N-D labeled arrays and datasets in Python

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