There are 9 repositories under design-of-experiments topic.
Design-of-experiment (DOE) generator for science, engineering, and statistics
Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/
Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.
Framework for Data-Driven Design & Analysis of Structures & Materials (F3DASM)
Experimental design and Bayesian optimization library in Python/PyTorch
Design of Experiments in Julia
BASM - 2017 Spring
Curated list of resources for the Design of Experiments (DOE)
python experiment management toolset
Design of Experiments and Analysis
Simulation and Analysis Tool for TAP Reactor Systems
Open-source constructor of surrogates and metamodels
A tool for remote experiment management
Simple implementation of Latin Hypercube Sampling.
ChemDesign: DWSIM Experiment Toolkit
Autonomously driving equation discovery, from the micro to the macro, from laptops to supercomputers.
Hammersley Sampling method For Design of Experiments (DOE) has been implemented in MATLAB
Optimization framework library fully written in C++
A modern Fortran statistical library.
CRAN Task View: Design of Experiments (DoE) & Analysis of Experimental Data
Computing the noncentral-F distribution and the power of the F-test with guaranteed accuracy
A/B Testing from Scratch
Code for calculating sample sizes for A/B tests based on power analysis.
Mixed Design of Experiments (DoE) in Matlab
This repository contains code and data for optimizing punch and die design to minimize punched deviations in PCB registraion.