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Name: Han Yong Wunrow
Type: User
Company: Columbia University
Bio: Applied Math Ph.D. student at Columbia APAM
Location: New York, NY
Blog: hwunrow.github.io
Name: Han Yong Wunrow
Type: User
Company: Columbia University
Bio: Applied Math Ph.D. student at Columbia APAM
Location: New York, NY
Blog: hwunrow.github.io
Course projects from a graduate course in applied linear algebra And numerical analysis taken at the University of Washington
Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
[TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
Methods to get the probability of a changepoint in a time series.
Undergraduate honors thesis on the Birkhoff conjecture for convex billiards.
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Explore different assimilation window methods for epidemiological models.
An Integrative Metaregression Framework for Descriptive Epidemiology
GATHER compliant code for FHS 2019 population forecast
A robot powered training repository :robot:
Github training for research group adapted from swcarpentry (https://swcarpentry.github.io/git-novice/)
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Jupyter notebooks and other materials developed for the Columbia course APMA 4300
Course kaggle competition to predict income using US census data. Placed in top 10 out of 50 students.
Jupyter notebook class notes for Numerical Methods for PDEs
Course project implementing the nearest-neighborhood interchange (NNI) tree search algorithm for parsimony analysis to analyze population genetics data.
Partially Observed Markov process with JAX backbone
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 ;)
Graph Neural Network Library for PyTorch
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Implementation of Dijkstra's Algorithm to find the minimum distance path between stations in the Seoul Subway.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.