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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

cmbcosmo icon cmbcosmo

CMB cosmology inference -- comparing SBI to other methods.

cosmographnet icon cosmographnet

Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.

deepastrouda icon deepastrouda

Universal Domain Adaptation for cross-survey classification, regression and anomaly detection

deepbench icon deepbench

Simulation library for very simple simulations to benchmark machine learning algorithms

deepmerge-public icon deepmerge-public

DeepMerge: An implementation of neural network models for classifying merging galaxies

deepslide icon deepslide

Code presenting the analysis to infer Dark Energy from Strong Lensing using SBI NRE

deepsurveysim icon deepsurveysim

An astrological survey simulation designed for testing MDP-style algorithms

deepwiki icon deepwiki

Temp Container for the wiki information we have already

digs_sbi icon digs_sbi

Repository for the project DIGS: Deep Inference of Galaxy Spectra with Neural Posterior Estimation and SBI.

gnn_domainadapt icon gnn_domainadapt

Inferring cosmology across datasets using Graph Neural Networks and Domain Adaptation

hypogen-db icon hypogen-db

A library for interfacing with the HypoGen database.

neural_gp icon neural_gp

Neural Inference of Gaussian Processes for Time Series Data of Quasars

noise2self icon noise2self

A framework for blind denoising with self-supervision.

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