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Hi, I'm John! I study galaxies with multi-wavelength telescopes and machine learning tools.

John F. Wu's Projects

18337 icon 18337

18.337 - Parallel Computing and Scientific Machine Learning

610-interstellar-matter icon 610-interstellar-matter

My notes for the Rutgers graduate level course on interstellar matter (Physics 610) during the Fall 2015 semester.

agn-convnets icon agn-convnets

Identifying active galactic nuclei with machine learning

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

asdf icon asdf

ASDF (Advanced Scientific Data Format) is a next generation interchange format for scientific data

astroclip icon astroclip

Multimodal contrastive pretraining for astronomical data

bayeslmmtutorial icon bayeslmmtutorial

Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html

beast icon beast

Bayesian Extinction And Stellar Tool

blog icon blog

John Wu's *old* blog -- please see https://jwuphysics.substack.com for the new one

cddpm4sdss icon cddpm4sdss

DDPM designed to generate SDSS-like images of galaxies conditioned on their physical property data.

chary_elbaz_python icon chary_elbaz_python

A python implementation of the Chary & Elbaz (2001) code for converting far-infrared (FIR) flux densities to IR luminosities.

convnet-demo icon convnet-demo

A convolutional neural network demo using Pytorch + fastai

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