Bayesian Optimization and Design of Experiments
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Updated
Jul 29, 2024 - Python
Bayesian Optimization and Design of Experiments
Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/
Framework for Data-Driven Design & Analysis of Structures & Materials (F3DASM)
Experimental design and Bayesian optimization library in Python/PyTorch
python experiment management toolset
Python library for Design and Analysis of Experiments
Python package for flexible generation of D-optimal experimental designs
Design of Experiments and Analysis
Simulation and Analysis Tool for TAP Reactor Systems
A tool for remote experiment management
Open-source constructor of surrogates and metamodels
Simple implementation of Latin Hypercube Sampling.
Autonomously driving equation discovery, from the micro to the macro, from laptops to supercomputers.
Design of experiments (DoE) and machine learning packages for the iCFree project
Python package for design of experiments
Code for calculating sample sizes for A/B tests based on power analysis.
Generate and characterize designs with four-and-two-level (FATL) factors.
Discrete Event Simulation | Queue Modeling | Bayesian Optimization | Full Factorial Design. "Design and Operation of Individualized Single-use Systems: Car-T Cell Therapy". Modeling Single-use systems using stochastic optimization techniques.
Web app for experimental design.
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