🔨 Malet (Machine Learning Experiment Tool) is a tool for efficient machine learning experiment execution, logging, analysis, and plot making.
-
Updated
May 12, 2024 - Python
🔨 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.
Optimal Bayesian Experiment Design
Raspberry Pi Pico firmware for universal hardware control & measurement, along with a user-friendly Python frontend
ABacus: fast hypothesis testing and experiment design solution
Flexible ball-drag-and-drop apps for oTree for dictator games or rule-following tasks.
This Streamlit application simulates A/B tests, providing a platform to evaluate the performance of different statistical tests based on data distribution.
Reproducible, efficient, flexible batch processing using pipelines for sustainable software experiments
figsci package performs many functions in efficient scientific graphics, such as phylogenetic barplot, integrated barplot and scatterplot with statistic, and Gantt Chart.
This is your the only entry point to deeply understand controlled experiments and begin to use them in practice.
Ambrosia is a Python library for A/B tests design, split and result measurement
A Python Library for Implementing Human-Computer Interface Experiments
Simulation tool for optimal design of high-dimensional MS-based proteomics experiment
A Javascript library to conveniently add distribution builders to your online and offline experiments.
A list of resources for research scientists in psychology who use VR/AR/XR
Lightweight python experiment tracker.
Projects completed for the Data Scientist Nanodegree with Udacity.
Experiment design project from Columbia University MSAA 5300 course
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."