design-of-experiments
Design of Experiments for Python
Design of experiments for Python
Bayesian Optimization and Design of Experiments
Flexible and accessible design of experiments in Python. Provides industry with an easy package to create designs based with limited expert knowledge. Provides researchers with the ability to easily create new criteria and design structures.
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
Tools to create designs of experiments
Generate and characterize designs with four-and-two-level (FATL) factors.
Regular Fractional Factorial two-level designs from the paper of Chen, Sun and Wu (1993)
Simple implementation of Latin Hypercube Sampling.
A simple library for design of experiments and analysis in Python
