Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/
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Updated
Feb 5, 2024 - Python
Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/
FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially replicated (p-rep) designs applied to agriculture, plant breeding, forestry, animal and biological sciences.
(Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and sensing task.
DFlat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and sensing task.
Design of Experiments and Analysis
This MultiDOE toolbox regroups many existing tools for generating sample points using many specific DOE techniques.
A python package for optimizing processing pipelines using statistical design of experiments (DoE).
Curated list of resources for the Design of Experiments (DOE)
A tool for the analysis of datasets obtained by performing experiments according to a Design of Experiments (DoE) approach.
MATLAB app that can plot the design space and results of a experiment in up to five dimensions (x, y, z, colour and dot size).
ChemDesign: DWSIM Experiment Toolkit
Generate and characterize designs with four-and-two-level (FATL) factors.
This code will run the analysis for a 2k Factorial design of experiments test with 1 to 26 variable parameters of interest.
O DOE e um sistema web para cadastro de doadores de sangue.
Catalog of all regular fractional factorial designs from Chen, Sun and Wu (1993) and Xu (2009)
Efficient and robust designs for two-color microarray experiments using genetic algorithm
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