This is the model used to process the data in the paper Pix2Prof: fast extraction of sequential information from galaxy imagery via deep learning. The Github link containing code for retraining and new galaxy profile generation is here
We introduce a new galaxy image decomposition tool, GALPHAT (GALaxy PHotometric ATtributes), to prov...
These are the data sets used for the publication https://arxiv.org/abs/2203.15413. In more detail, ...
GBIF-DL is a service that allows users to create a training set on a particular group of living orga...
Zoobot is a Python package for measuring the detailed appearance of galaxies in telescope images usi...
These are the model files required to replicate our "Realistic galaxy image simulation via score-bas...
This collection contains all the pre-trained model weights used to produce the results in our paper ...
This repository contains a pre-processed dataset derived from the GNPS public repository of natural ...
Implement every major architecture of deep learning in PyTorch. Starting with simple neural networks...
Short demo and links to a newly released pure Python package called cluster-lensing. This package co...
This release is tied to the publication of PyAutoGalaxy in the Journal of Open Source software (JOSS...
Please visit the GitHub repository below to use this pre-trained model to generate predictions for r...
This dataset provides the data needed for the Galaxy BASIC assembly workflow training tutorial (http...
This is the first version of a PyTorch model trained on detecting lung organoids from 2D microscopy ...
14 pages, submitted to MNRAS. Comments most welcomeInternational audienceABSTRACT Image simulations ...
International audienceNumerous ongoing and future large area surveys (e.g. Dark Energy Survey, EUCLI...
We introduce a new galaxy image decomposition tool, GALPHAT (GALaxy PHotometric ATtributes), to prov...
These are the data sets used for the publication https://arxiv.org/abs/2203.15413. In more detail, ...
GBIF-DL is a service that allows users to create a training set on a particular group of living orga...
Zoobot is a Python package for measuring the detailed appearance of galaxies in telescope images usi...
These are the model files required to replicate our "Realistic galaxy image simulation via score-bas...
This collection contains all the pre-trained model weights used to produce the results in our paper ...
This repository contains a pre-processed dataset derived from the GNPS public repository of natural ...
Implement every major architecture of deep learning in PyTorch. Starting with simple neural networks...
Short demo and links to a newly released pure Python package called cluster-lensing. This package co...
This release is tied to the publication of PyAutoGalaxy in the Journal of Open Source software (JOSS...
Please visit the GitHub repository below to use this pre-trained model to generate predictions for r...
This dataset provides the data needed for the Galaxy BASIC assembly workflow training tutorial (http...
This is the first version of a PyTorch model trained on detecting lung organoids from 2D microscopy ...
14 pages, submitted to MNRAS. Comments most welcomeInternational audienceABSTRACT Image simulations ...
International audienceNumerous ongoing and future large area surveys (e.g. Dark Energy Survey, EUCLI...
We introduce a new galaxy image decomposition tool, GALPHAT (GALaxy PHotometric ATtributes), to prov...
These are the data sets used for the publication https://arxiv.org/abs/2203.15413. In more detail, ...
GBIF-DL is a service that allows users to create a training set on a particular group of living orga...
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