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19 search results found

Pingouin ⭐ 1,462

Statistical package in Python based on Pandas

Monitor the stability of a Pandas or Spark dataframe ⚙︎

Opt Mmd ⭐ 204

Learning kernels to maximize the power of MMD tests

Kernel Gof ⭐ 56

NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

Exploripy ⭐ 47

Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.

Interpretable Test ⭐ 44

NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

Tests As Linear ⭐ 34

Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.

Hypothetical ⭐ 26

Hypothesis and statistical testing in Python

Shapley_regressions ⭐ 22

Statistical inference on machine learning or general non-parametric models

Implicit generative models and related stuff based on the MMD, in PyTorch

Fsic Test ⭐ 15

ICML 2017. Kernel-based adaptive linear-time independence test.

Dnn Inference ⭐ 13

[TNNLS 2022] Significance tests of feature relevance for a black-box learner

Classification Py ⭐ 11

Machine learning library for classification tasks

Confound_prediction ⭐ 10

Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

Econometric Algorithms ⭐ 10

Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.

Occlusion Classification ⭐ 9

Recurrent computations for visual pattern completion: Classification of occluded images in humans and recurrent neural networks

Statistical tests for Value at Risk (VaR) Models.

Regression Analysis ⭐ 7

Linear Regression Analysis on Wine data - Pre-processing data, Exploratory Data Analysis, Building a model, Check assumptions, Goodness of fit and Compare with different methods.

Metanalyze ⭐ 6

Repositorio con el Trabajo Final de Grado de Pedro Manuel Ramos Rodríguez sobre una aplicación para la validación estadística de metaheurísticas utilizadas para la optimización multi-objetivo

ROSES (R pythOn Statistical tEstS) is a package to use statistical tests from R to Python for multiple algorithms in multiple problems.

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