An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
-
Updated
May 17, 2024 - Python
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive design algorithm, as well as extensions to liquid- and solid-based color matching demos.
Bayesian Optimization and Design of Experiments
Experimental design and (multi-objective) bayesian optimization.
MITIM (MIT Integrated Modeling) Suite for Fusion Applications
Generalized and Efficient Blackbox Optimization System
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Jointly-trained tree kernels for Gaussian processes
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
An evaluation framework for machine learning models simulating high-throughput materials discovery.
Pre-trained Gaussian processes for Bayesian optimization
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
Demos of Cheetah being used for various applications presented in "Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations"
User-friendly Graphical User Interface (GUI) developed at the National Institute for Materials Science (NIMS) for performing statistical data analysis, machine learning (ML) modelisation, and composition/process optimisation through active learning assisted by Bayesian optimisation
Boax is a Bayesian Optimization library for JAX.
Computer-aided molecular and process design using Bayesian optimization
Scalable Non-myopic Bayesian Optimization in Dynamic Cost Settings
Spatial analysis and modelling from traffic accidents in New Zealand.
BOSS (Bayesian Optimization with Semiparametric Surrogate)
Add a description, image, and links to the bayesian-optimization topic page so that developers can more easily learn about it.
To associate your repository with the bayesian-optimization topic, visit your repo's landing page and select "manage topics."