Design of Experiments for Python
Design of experiments for Python
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.
Bayesian Optimization and Design of Experiments
Design of experiments generator with simple CSV input/output options
f3dasm - Framework for Data-driven Development and Analysis of Structures and Materials
python experiment management toolset
Python library for conducting design of experiments
Generate and characterize designs with four-and-two-level (FATL) factors
Tools to create designs of experiments
Experimental design and Bayesian optimization library in Python/PyTorch
Simple implementation of Latin Hypercube Sampling.
Regular Fractional Factorial two-level designs from the paper of Chen, Sun and Wu (1993)
A simple library for design of experiments and analysis in Python
