Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
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Updated
Jul 16, 2024 - Python
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
An evaluation framework for machine learning models simulating high-throughput materials discovery.
A curated repository of awesome Bayesian optimization resources.
A Python implementation of global optimization with gaussian processes.
Experimental design and (multi-objective) bayesian optimization.
Computational tools for simulation of high-entropy alloy surfaces
Bayesian Optimization and Design of Experiments
Using Quantum Algorithms to accelerate Gaussian Process Regression
gaussian process
A tiny project to use ax-platform for multi-objective Bayesian Optimization on OpenFOAM cases
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
The source code of the Bayesian optimization of photocatalysts research project.
BOSS (Bayesian Optimization with Semiparametric Surrogate)
Flexible Bayesian Optimization in R
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
Data science analyses delving into National Hockey League (NHL) ice hockey statistics
Repository for Bayesian Optimization with a Gaussian Process surrogate model in python
Cryptocurrency automatic trading
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