Stars
A comprehensive list of published machine learning applications to cosmology
PyTorch implementation of Probabilistic MIMO U-Net
A repo to assess uncertainty quantification methods from deep learning models
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driven (learned) priors
Inference diagnostics for mostly SBI
Simulation library for very simple simulations to benchmark machine learning algorithms
A Python library for amortized Bayesian workflows using generative neural networks.
This repository contains the basic outlier detection algorithm that we use to find the weirdest SDSS galaxies.
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Parallelized rotation and flipping INvariant Kohonen maps
A Python version of KinMS (github.com/TimothyADavis/KinMS)
A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.
An improved background rejection algorithm for the Chandra High Resolution Camera
RealSim is the statistical observational realism suite described in Bottrell et al 2017ab and made public in Bottrell et al 2019b.
Code and scripts for generating mock survey fields from hydro simulations