For running psychology and neuroscience experiments
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Updated
Dec 24, 2024 - Python
For running psychology and neuroscience experiments
YACS -- Yet Another Configuration System
Create behavioral experiments in a browser using JavaScript
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
A JavaScript port of Facebook's PlanOut Experimentation Framework
Bayesian Optimization and Design of Experiments
Experimental design and (multi-objective) bayesian optimization.
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.
Olympus: a benchmarking framework for noisy optimization and experiment planning
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
Active Bayesian Causal Inference (Neurips'22)
Experimental design and Bayesian optimization library in Python/PyTorch
Lightweight tools for experimental design and multi-objective optimization.
Repository for the paper "Optimal design of stochastic DNA synthesis protocols based on generative sequence models" (Weinstein et al., AISTATS, 2022).
ParamHelpers Next Generation
An R Package and Shiny App for generating matched stimuli for factiorial-design experiments.
Design of Experiments in Julia
Repository collecting resources and best practices to improve experimental rigour in deep learning research.
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.
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