Uplift modeling and estimation via the "Uplift Support Vector Machine".
-
Updated
May 21, 2017 - Python
Uplift modeling and estimation via the "Uplift Support Vector Machine".
A/B test user splitter PoC, mainly for research and toy projects
Simple and extensible framework for data analysis and machine learning experiments in Python.
Adaptive Design Optimization for Experimental Tasks
a minimalist functioning code module and folder structure, built to teach and exercise with computer-controlled measurements using Python.
Lightweight python experiment tracker.
A Python Library for Implementing Human-Computer Interface Experiments
Ambrosia is a Python library for A/B tests design, split and result measurement
Reproducible, efficient, flexible batch processing using pipelines for sustainable software experiments
This Streamlit application simulates A/B tests, providing a platform to evaluate the performance of different statistical tests based on data distribution.
Flexible ball-drag-and-drop apps for oTree for dictator games or rule-following tasks.
ABacus: fast hypothesis testing and experiment design solution
Optimal Bayesian Experiment Design
🔨 Malet (Machine Learning Experiment Tool) is a tool for efficient machine learning experiment execution, logging, analysis, and plot making.
An application to easily set up and run online listening experiments for music research.
Add a description, image, and links to the experiment-design topic page so that developers can more easily learn about it.
To associate your repository with the experiment-design topic, visit your repo's landing page and select "manage topics."