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GitHub / aryandeshwal / Submodular_Relaxation_BOCS
Python implementation of Scalable Combinatorial Bayesian Optimization with Tractable Statistical Models
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aryandeshwal%2FSubmodular_Relaxation_BOCS
Stars: 1
Forks: 1
Open Issues: 0
License: gpl-3.0
Language: Python
Repo Size: 43 KB
Dependencies:
0
Created: almost 4 years ago
Updated: over 1 year ago
Last pushed: almost 4 years ago
Last synced: 19 days ago
Topics: bayesian-optimization, black-box-optimization, combinatorial-optimization, discrete-optimization, expensive-to-evaluate-functions, graph-cuts, machine-learning, python, submodular-optimization
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No dependencies found