Popular GitHub Repositories for Astronomy

StarWhisper：LLM for Astronomy

Deep Learning for Astronomers with Keras

Scalable inference for a generative model of astronomical images

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

An interactive dashboard for visualisation, integration and classification of data using Active Learning.

Convolutional Interactive Artificial Neural Networks by/for Astrophysicists

Code and example data repository for Mommert (2020): Cloud Identification from All-sky Camera Data with Machine Learning, Astronomical Journal, 159

Transformer based foundation model for galaxy images (and general astronomy)

Code for our paper on doing resource allocation with graph neural networks

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

A GAN for the generation of mock astronomical surveys

Artificial Neural-Net compression and fitting of synthetic spectral grids.

Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/2403.08851 (COLM 2023).

Differentiable microlensing powered by JAX

Repository for "Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models" (ApJ) and "Generating astronomical spectra from photometry with conditional diffusion models" (ML4PS@NeurIPS 2022)

This repository contains part of the code used to make the images visible in the article "How does an AI Imagine the Universe?" published on Towards Data Science.

A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images

A image classifier that classifies whether a galaxy is spiral, elliptical, or irregular. Built using Tensorflow v2 and Google's inception v3 model.

Code for paper entitled "Learning to detect RFI in radio astronomy without seeing it"

Anomaly Detection in James Webb Space Telescope (JWST) Data using Machine Learning, focusing on identifying maliciously manipulated or falsified data to ensure reliable analysis.