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helenshao's Projects

camb icon camb

Code for Anisotropies in the Microwave Background

halo_galaxy_gnns icon halo_galaxy_gnns

Using GNNs to map halo properties to omega matter and using symbolic regression to approximate the learned model.

halo_gnns icon halo_gnns

Using graph neural networks to perform likelihood-free inference at the halo-field level

halo_simulations icon halo_simulations

Reading halo catalogues and snapshots from Quijote and Rockstar simulations

launchds icon launchds

Colab notebooks from Launch Data Science at HackCville

lfi-gw icon lfi-gw

Likelihood-Free Inference for Gravitational Waves

ltu-ili icon ltu-ili

A Python framework for applying simulation-based inference to cosmological survey data.

ml_dm_hi icon ml_dm_hi

Using deep learning neural networks to map between dark matter and cosmic neutral hydrogen

momentnetworks icon momentnetworks

Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)

neutrino_cosmology icon neutrino_cosmology

Codes and data products used for constraining neutrino mass in extended LCDM cosmologies with latest CMB anisotropy, CMB lensing, BAO, and SNe data. Assets for training and testing CAMB/CLASS emulators

normalizing_flows icon normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

nqe icon nqe

Neural Quantile Estimation.

pydelfi icon pydelfi

Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations

pysr icon pysr

High-Performance Symbolic Regression in Python

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