jiwoncpark

baobab

Generates the training data for hierarchical inference of strongly-lensed systems with Bayesian neural networks

deep-learning-notebooks

Tutorials in various concepts related to deep learning

h0rton

Deep Modeling of Strong Gravitational Time Delay Lenses for Bayesian Inference of the Hubble Constant

node-to-joy

Modeling the external convergence from photometric catalogs

magnify

Inferring black hole properties from learned representations of multi-filter AGN light curves

BreakfastClub

SLAC HXML Reading Group

mixture-models

jiwoncpark.github.io

A Jekyll version of the Clean Blog theme by Start Bootstrap

actions-sandbox

agnostic

Kernel-less, flexible models of AGN variability

botied

BOtied: Multi-objective Bayesian optimization with tied multivariate ranks

Copulas

A library to model multivariate data using copulas.

cs235-biomedical-informatics

deep-meta-learning

Literature review of deep meta learning and deep multi-task learning, some fun toy implementations, and my work for Stanford's CS 330 (Deep Multi-task and Meta Learning)

deeplenstronomy

A pipeline for versatile strong lens sample simulations

differentiable-bayesian-copula-fitting

Differentiable Bayesian copula fitting

EmbeddedLMC

fast-forward

The stochastic forward problem using Bayesian neural networks

gauche

A Library for Gaussian Processes in Chemistry

gcr-catalogs

A Python module that provides a unified interface to access mock galaxy catalogs and more for the LSST DESC

hierArc

Hierarchical inference of cosmological parameters from a set of strong lensing systems

latent_sde

magnificat

Multi-filter AGN light curve simulator

pyvinecopulib

A Python library for vine copula models

sbi

Simulation-based inference in PyTorch

semiparametric-uq

skypy

SkyPy: A package for modelling the Universe

sleepless

tinier-tim

Simulating HST-like PSFs

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.