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Instituto de Astrofísica de Canarias (IAC)
- San Cristóbal de La Laguna, Canary Islands, Spain
- https://marinadunn.github.io
- in/marina-dunn
- astro__marina
- https://research.iac.es/proyecto/educado/pages/team.php
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Make arbitrary-scale (100k+ galaxies) predictions (inc. representations) from Zoobot
a galaxy surface bightness fitting code via gradient descent
The routine of obtaining the intrinsic 3D shape distributions of galaxies given the projected size-shape distributions.
Codes and notebooks related to arXiv 2006.04294
Repository for the project "DeepShadows: Separating LSBGs from artifacts using Deep Learning"
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Bayesian Modeling and Probabilistic Programming in Python
Python package for calculating Petrosian properties and fitting galaxy light profiles
A few python classes to parse through galfit output fits files to retrieve fit information
Development version of mtobjects, a tool for finding objects in astronomical images.
Accelerated Bayesian SED modeling using Amortized Neural Posterior Estimation
Codespaces template for creating and deploying your own React portfolio
Using Contrastive Domain Discrepancy for class-aware domain adaptation to study galaxy mergers.
Setup PyTorch on Mac/Apple Silicon plus a few benchmarks.
A collaboration friendly studio for NeRFs
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
A workflow for reproducible and open scientific articles
dotAstronomy Hacks Collector: a repository for past and present dotAstronomy hacks
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Source code for the LabelMe annotation tool.
CosmiQ Works Geospatial Machine Learning Analysis Toolkit
GeoJSON utilities that will make your life easier.
PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.