For running psychology and neuroscience experiments
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Updated
Jun 28, 2024 - Python
For running psychology and neuroscience experiments
Experimental design and (multi-objective) bayesian optimization.
Bayesian Optimization and Design of Experiments
ParamHelpers Next Generation
This is a Flutter App to run a digitized version of the beauty contest game
alpha60 sample data: csv and json files
Create behavioral experiments in a browser using JavaScript
Balance Permutation Test (Rametta, Fuller 2024)
A package to aid in teaching experimental design and analysis through easy access and documentation of helper functions. Renaming of previous BiometryTraining package.
A collection of methods for rendering svg grainy/noisy gradients
The repository for all your experiments
A decision-making framework for the cost-efficient design of experiments, balancing the value of acquired experimental evidence and incurred costs.
A modern Fortran statistical library.
PLAID (Plate Layouts using Artificial Intelligence Design) is a flexible constraint-programming model representing the Plate Layout Design problem.
Formula parser and evaluator for Wilkinson Notation and dataframes arithmetics
Media Big Data Analysis using Spark & AWS EMR, Data Storytelling, Build ETL & Machine Learning Pipeline for NLP tasks, A/B Testing Design & Post-Analysis & Customer Targeting, build time series dashboard using Flask and Plotly, Recommendation System
OpenMonkeyMind is a framework for distributing OpenSesame experiments. This repository contains the client software, i.e. plugins and an extension for OpenSesame.
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Subsampling Methods Based on Experimental Design
Tools for Data Analysis in Experimental Agriculture
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