Statsmodels: statistical modeling and econometrics in Python

A light-weight, flexible, and expressive statistical data testing library

Enabling easy statistical significance testing for deep neural networks.

Python package for multivariate hypothesis testing

Automated Hypothesis Testing with Agentic Sequential Falsifications

Learning kernels to maximize the power of MMD tests

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

Multiple hypothesis testing in Python

Robust statistics in Python

Hypothesis and statistical testing in Python

Grammars suitable for lark parser and Hypothesis

This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).

Critical difference diagrams with Python and Tikz

A Modern Python Package Template

AB test calculator run through Streamlit

Deep Critical Research Agent : The first AI-driven Critical Analysis to turn the huge amount of preclinical biology data and information into knowledge and hence disease cures.

Significance tests of feature relevance for a black-box learner

Causal inference, differential expression, and co-expression for scRNA-seq

Python tools for working with the IceCube public data.