Name: Deep Skies Lab
Type: Organization
Bio: We do research at the intersection of AI, Statistics, and Cosmology. Building community & making discoveries since 2017. Led by B. Nord.
Twitter: deepskieslab
Blog: www.deepskieslab.com
Deep Skies Lab's Projects
CMB cosmology inference -- comparing SBI to other methods.
Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.
Universal Domain Adaptation for cross-survey classification, regression and anomaly detection
Simulation library for very simple simulations to benchmark machine learning algorithms
Inference diagnostics for mostly SBI
A pipeline for versatile strong lens sample simulations
DeepMerge: An implementation of neural network models for classifying merging galaxies
Code presenting the analysis to infer Dark Energy from Strong Lensing using SBI NRE
An astrological survey simulation designed for testing MDP-style algorithms
Temp Container for the wiki information we have already
DeepZipper repository for paper 1
Repository for the project DIGS: Deep Inference of Galaxy Spectra with Neural Posterior Estimation and SBI.
Inferring cosmology across datasets using Graph Neural Networks and Domain Adaptation
A library for interfacing with the HypoGen database.
Neural Inference of Gaussian Processes for Time Series Data of Quasars
A framework for blind denoising with self-supervision.
A guide to running AI frameworks on Wilson HPC cluster GPUs