aryandeshwal Goto Github PK

aryandeshwal.github.io

Personal Website

bo_of_cofs

Python code for the paper Bayesian Optimization of Nanoporous Materials.

bodi

bops

Python implementation of Bayesian optimization over permutation spaces.

casmopolitan

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

combo

gauche-string_kernel

A Library for Gaussian Processes in Chemistry

hybo

ladder

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

matchopt_icml24

This is the official implementation of the paper "Learning Surrogates for Offline Black-Box Optimization via Gradient Matching" published in ICML 2024

mercbo

Python implementation of Mercer Features for Efficient Combinatorial Bayesian Optimization

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

neuralcompression

pytorch_coms

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

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

submodular_relaxation_bocs

Python implementation of Scalable Combinatorial Bayesian Optimization with Tractable Statistical Models

tc_2018_code

Contains code for TC 2018 paper

tl_het_ss_deepsets

usemo

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

usemoc

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

workshop_template