222 skills found · Page 1 of 8
proptest-rs / ProptestHypothesis-like property testing for Rust
vincentarelbundock / MarginaleffectsR 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
timothycrosley / Hypothesis AutoAn extensions for Hypothesis that provides fully automatic testing for type hinted functions
JuliaStats / HypothesisTests.jlHypothesis tests for Julia
python-jsonschema / Hypothesis JsonschemaTools to generate test data from JSON schemata with Hypothesis
snap-stanford / POPPERAutomated Hypothesis Testing with Agentic Sequential Falsifications
veg / HyphyHyPhy: Hypothesis testing using Phylogenies
neurodata / HyppoPython package for multivariate hypothesis testing
jhclark / MultevalEasy 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.
hegeldev / Hegel RustProperty-based testing for Rust, built on Hypothesis
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stateless-minds / Cyber StasisPost-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.
weijie-chen / Basic Statistics With PythonIntroduction 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.
Zac-HD / HypofuzzAdaptive fuzzing of Hypothesis tests
puolival / MultipyMultiple hypothesis testing in Python
entiretyHQ / OpenHypothesis Testing 01 - Straddle
andy489 / Empirical Methods And StatisticsA collection implementing core statistical concepts—probability, distributions, limit theorems, hypothesis testing, and regression—through statistical computing and data visualization with R.
moskytw / Hypothesis Testing With PythonTrue difference or noise? 📊
alexpghayes / Classic Stats Formulasreference material for classical hypothesis tests
CoenMeintjes / Data Science Notebook TemplatesA comprehensive collection of Jupyter Notebook templates for data science tasks, developed to improve workflow efficiency and cover a wide range of topics, including exploratory data analysis, hypothesis testing, regression models, and machine learning models.
