John F. Wu's Projects
18.337 - Parallel Computing and Scientific Machine Learning
My notes for the Rutgers graduate level course on interstellar matter (Physics 610) during the Fall 2015 semester.
Advent of Code 2020
Advent of Code 2021
Identifying active galactic nuclei with machine learning
A beautiful, simple, clean, and responsive Jekyll theme for academics
HST + IRAC catalogs in lensing cluster fields
Implementation of https://srush.github.io/annotated-s4
ASDF (Advanced Scientific Data Format) is a next generation interchange format for scientific data
is assembly history or environment more important for learning galaxy properties?
Personal repo of how to do random things related to convnets
Repository for SPS and RAS astro hack sessions
Multimodal contrastive pretraining for astronomical data
Default set of Data Lab notebooks, by DL team and contributed by users
An introduction to working with astronomical data in Python.
Awesome-ish Machine Learning; -ish because they're just my opinions
Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html
Bayesian Extinction And Stellar Tool
John Wu's *old* blog -- please see https://jwuphysics.substack.com for the new one
Implementation of Bottleneck Transformer in Pytorch
DDPM designed to generate SDSS-like images of galaxies conditioned on their physical property data.
A python implementation of the Chary & Elbaz (2001) code for converting far-infrared (FIR) flux densities to IR luminosities.
John's color style guide
A convolutional neural network demo using Pytorch + fastai
Code release for ConvNeXt model
The 3rd edition of course.fast.ai
Pre-release of v4 of course.fast.ai