Popular GitHub Repositories for Observational Cosmology

A spherical convolutional neural network for cosmology (TFv1).

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

?? Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

Differentiable Cosmological Forward Model

[NeurIPS'24 Spotlight] Observational Scaling Laws

Differentiable cosmological emulators: the JAX version of CosmoPower

Code for our paper on doing resource allocation with graph neural networks

AAAI 22 - Training a Resilient Q-Network against Observational Interference, Causal Inference Q-Networks

A spherical convolutional neural network for cosmology (TFv2).

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

"Evaluating Digital Agriculture Recommendations with Causal Inference". It was accepted and presented in the special track on Artificial Intelligence for Social Impact, AAAI-23

Gravitational Wave Analysis using Auto Differentiation with JAX

Interface machine learning with Cosmology and General Theory of relativity to visually analyze the evolution of GRS 1915+105 Black hole X-ray binary using WATCH ASM data captured aboard GRANAT.

Generate synthetic longitudinal correlated data using distributions and correlations from real-world observational data

Set of variational autoencoder models to be used in the analysis of Galactic foregrounds to CMB experiments.

Fast map-based emulator for augmentation of inhomogeneous maps on the HEALPix sphere.

Using machine learning to speed-up Bayesian inference.

Generate synthetic observational datasets from quantum-geometry signatures for LIGO, EHT, and gravitational wave detectors with realistic noise models and instrument specifications

Complete warp signature detection workflow transforming curvature analysis into quantum-geometry signatures, synthetic detector data, and sensitivity comparisons for observational validation

The Intelligent Computational Cosmogenesis: A Meta-Intelligence Framework for Long-Term Efficiency Optimization - foundational blueprints for understanding the very fabric of existence, intelligence, and purpose from a computational paradigm