jungtaekkim

bayeso

Simple, but essential Bayesian optimization package

bayeso-benchmarks

Benchmark functions for Bayesian optimization.

automl-challenge-2018

AutoML Challenge 2018 at PAKDD 2018

error-free-differentiable-swap-functions

Official repository of "Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions," which has been presented at ICLR 2024

batch-bayeso

nanophotonic-structures

Official repository of "Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations"

ai-deadlines

:alarm_clock: AI conference deadline countdowns

On-Uncertainty-Estimation-by-Tree-based-Surrogate-Models-in-SMO

Official repository of "On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization", presented at AISTATS 2022

practical-bo-with-threshold-guided-mlm

Multi-BOWS

Official implementation of "Multi-BOWS: Multi-Fidelity Multi-Objective Bayesian Optimization with Warm Starts for Nanophotonic Structure Design"

set_transformer

Pytorch implementation of set transformer

ac-bo-hackathon.github.io

bayeso-metrics

Beyond Regrets: Geometric Metrics for Bayesian Optimization

Combinatorial-BO-with-RMFs-to-CPs

jungtaekkim.github.io

ksc-2020-tutorial-on-bo

LayerLumos

LOSAN-LOFAV

PyGauss

Companion package of the review paper entitled 'High-dimensional Gaussian sampling: A review and a unifying approach based on a stochastic proximal point algorithm' by Maxime Vono et al.

truncated-mvn-sampler

Reimplementation using Python of the minimax tilting algorithm by Botev (2016) for simulation and iid sampling of the truncated multivariate normal distribution.

TuRBO