aryandeshwal

HyBO

BO_of_COFs

Python code for the paper Bayesian Optimization of Nanoporous Materials.

BOPS

Python implementation of Bayesian optimization over permutation spaces.

LADDER

Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.

MerCBO

Python implementation of Mercer Features for Efficient Combinatorial Bayesian Optimization

BODi

pytorch_coms

Pytorch based reimplementation of COMS: Conservative Objective Models for Effective Offline Model-Based Optimization.

Casmopolitan

[ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces

MESMO

Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method

MESMOC

Python implementation for MESMOC the paper "Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints".

NetworkFlows

Implementation of maximum flow algorithm from Network flows book by Ahuja, Magnanti, Orlin

Submodular_Relaxation_BOCS

Python implementation of Scalable Combinatorial Bayesian Optimization with Tractable Statistical Models

USeMO

Python implementation of Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization

aryandeshwal.github.io

Personal Website

COMBO

gauche-string_kernel

A Library for Gaussian Processes in Chemistry

NeuralCompression

sequence-models

SetCover-project

spinningup

An educational resource to help anyone learn deep reinforcement learning.

starter-academic

📝 Easily create a beautiful website using Hugo, GitHub, and Netlify

TC_2018_code

Contains code for TC 2018 paper

tl_het_ss_deepsets

USEMOC

Python implementation for USeMOC paper "Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization with Constraints".

workshop_template