jwuphysics/HI-convnets jwuphysics/HI-convnets

  • Stars
    star
    10
  • Rank 1,807,489 (Top 36 %)
  • Language
    Jupyter Notebook
  • Created over 5 years ago
  • Updated almost 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
jwuphysics/HI-convnets
github

jwuphysics

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Estimating galaxy gas mass fractions using SDSS imaging

More Repositories

1

predicting-spectra-from-images

Predicting galaxy spectra from images
Jupyter Notebook
15
star
2

galaxy-autoencoders

Autoencoders for galaxies
Jupyter Notebook
10
star
3

galaxy-cnns

Using SDSS imaging to predict galaxy metallicity. Maintained by @jwuphysics @boada
Jupyter Notebook
10
star
4

halo-gnns

Estimating galaxy-halo properties using graph neural networks
Jupyter Notebook
6
star
5

xSAGA

Extending the SAGA survey to the wide-field regime using deep learning.
Jupyter Notebook
5
star
6

ism-star-ml

Machine learning and deep learning tutorials for the ISM* at ST group
Jupyter Notebook
4
star
7

colors

John's color style guide
4
star
8

gnn-linking-lengths

Measuring galaxy environmental distance scales with GNNs and explainable ML models
Jupyter Notebook
4
star
9

agn-convnets

Identifying active galactic nuclei with machine learning
Jupyter Notebook
2
star
10

convnet-demo

A convolutional neural network demo using Pytorch + fastai
Jupyter Notebook
2
star
11

blog

John Wu's *old* blog -- please see https://jwuphysics.substack.com for the new one
Jupyter Notebook
2
star
12

infrared-sed-fitting

Fitting galaxy spectral energy distributions at infrared wavelengths
Python
1
star
13

adventofcode2021

Advent of Code 2021
Julia
1
star
14

fitting-a-model-to-data

Learning how to fit a model to a data set
Jupyter Notebook
1
star