Aleksandra Ciprijanovic's repositories
DeepMergeDomainAdaptation
Fisher deep domain adaptation for astronomy - galaxy mergers
DeepMerge-CAN
Using Contrastive Domain Discrepancy for class-aware domain adaptation to study galaxy mergers.
DeepAdversaries
Studying robustness of deep learning algorithms to adversarial attacks that may naturally arise from scientific data pipelines, such as LSST.
deepmerge-public
DeepMerge: An implementation of neural network models for classifying merging galaxies
Basic-algorithms-for-classification-from-scratch
Basic alrothms for classification, clustering and Neural Networks (me practicing stuff with sentdex).
AstroBenchmarking
AstroHackWeek2020 Hack proposal #Astro-MNIST
Cat-VS-Dog-tflearn-
CNN for differentiating between cats and dogs in TensorFlow.
DANN---DeepMerge
Domain Adversarial Neural Network approach to galaxy merger classification using pristine and noisy images together
aleksciprijanovic
My Website
BLDAP-Python-Data-Science
Intro to Python / data science curriculum for Berkeley Lab Director's Apprenticeship Program
Cosmo1gal
Data and scripts used for the cosmology with one galaxy paper
DeepShadows
Repository for the project "DeepShadows: Separating LSBGs from artifacts using Deep Learning"
descqa
A validation framework and tests for mock galaxy catalogs and beyond
hacks-collector
Astro Hack Week Hacks Collector: a repository for past and present dotAstronomy hacks
HackWeek-Toolkit
A toolkit to get you started with organizing your own hack week!
IMNN
Uses neural networks to extract sufficient statistics from data by maximising the Fisher information
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
PTExperiments
PyTorch experiments
tutorial-notebooks
Tutorial Jupyter Notebooks for Data Preview 0, created and maintained by the Rubin Observatory Community Engagement Team.
wassdistance_sinkhorn
Approximating Wasserstein distances with PyTorch