experimental-design
Here are 242 public repositories matching this topic...
Language:All
Sort:Most stars
For running psychology and neuroscience experiments
- Updated
Jul 11, 2025 - Python
YACS -- Yet Another Configuration System
- Updated
Apr 13, 2022 - Python
Create behavioral experiments in a browser using JavaScript
- Updated
Jul 8, 2025 - TypeScript
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
- Updated
Feb 11, 2025 - Python
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
- Updated
Jan 15, 2024 - Jupyter Notebook
Bayesian Optimization and Design of Experiments
- Updated
Jul 11, 2025 - Python
A JavaScript port of Facebook's PlanOut Experimentation Framework
- Updated
Jul 18, 2023 - JavaScript
Experimental design and (multi-objective) bayesian optimization.
- Updated
Jul 12, 2025 - Jupyter Notebook
Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.
- Updated
Aug 1, 2023 - HTML
Olympus: a benchmarking framework for noisy optimization and experiment planning
- Updated
Nov 24, 2024 - Jupyter Notebook
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
- Updated
Jun 1, 2023 - Python
Active Bayesian Causal Inference (Neurips'22)
- Updated
Jul 29, 2024 - Python
Experimental design and Bayesian optimization library in Python/PyTorch
- Updated
Aug 5, 2024 - Python
Repository for the paper "Optimal design of stochastic DNA synthesis protocols based on generative sequence models" (Weinstein et al., AISTATS, 2022).
- Updated
Feb 17, 2022 - Python
Lightweight tools for experimental design and multi-objective optimization.
- Updated
May 13, 2025 - Python
An R Package and Shiny App for generating matched stimuli for factiorial-design experiments.
- Updated
Jan 16, 2025 - R
Design of Experiments in Julia
- Updated
Oct 21, 2022 - Julia
ParamHelpers Next Generation
- Updated
Jun 9, 2025 - R
Repository collecting resources and best practices to improve experimental rigour in deep learning research.
- Updated
Mar 30, 2023 - Python
A Python Package for intuitive design of experiments with user-friendly analysis of results. The aim is for this package to rival the DOE capabilities of commercial software such as JMP. Currently designs and analysis will be more geared towards investigations following the Response Surface Methodology.
- Updated
Nov 5, 2020 - Python
Improve this page
Add a description, image, and links to theexperimental-design topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with theexperimental-design topic, visit your repo's landing page and select "manage topics."