Statsmodels: statistical modeling and econometrics in Python

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

Enhancing {ggplot2} plots with statistical analysis 📊📣

Hypothesis-like property testing for Rust

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference

Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY 😊😊😊😊

distfit is a python library for probability density fitting.

An extensions for Hypothesis that provides fully automatic testing for type hinted functions

Enabling easy statistical significance testing for deep neural networks.

Hypothesis tests for Julia

Tools to generate test data from JSON schemata with Hypothesis

Automated Hypothesis Testing with Agentic Sequential Falsifications

HyPhy: Hypothesis testing using Phylogenies

Python package for multivariate hypothesis testing

Collection of stats, modeling, and data science tools in Python and R.

Learning kernels to maximize the power of MMD tests

Easy Bootstrap Resampling and Approximate Randomization for BLEU, METEOR, and TER using Multiple Optimizer Runs. This implements "Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability" from ACL 2011.

Property-based testing for Rust, built on Hypothesis

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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

A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python

Post-money economy simulator in the form of a free fictional game based on gift economy that tests the hypothesis of having a market system without any exchange be it barters or money.

Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

Display and analyze ROC curves in R

Machine learning for beginner(Data Science enthusiast)

Adaptive fuzzing of Hypothesis tests

Multiple hypothesis testing in Python