citiususc / stacLinks
Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computational intelligence algorithms.
☆34Updated 5 years ago
Alternatives and similar repositories for stac
Users that are interested in stac are comparing it to the libraries listed below
Sorting:
- An automated machine learning tool aimed to facilitate AutoML research.☆102Updated last year
- Tutorial on Bayesian tests for Machine Learning☆78Updated 5 years ago
- Generalized Optimal Sparse Decision Trees☆70Updated last year
- simple customizable risk scores in python☆142Updated 2 years ago
- Python Meta-Feature Extractor package.☆139Updated 5 months ago
- ☆76Updated last year
- Extended Complexity Library in R☆58Updated 5 years ago
- A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.☆103Updated 8 months ago
- Meta-Feature Extractor☆31Updated 3 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆84Updated last year
- Optimal Sparse Decision Trees☆108Updated 2 years ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆103Updated last year
- ☆15Updated 4 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 4 years ago
- Bayesian Additive Regression Trees For Python☆231Updated 2 years ago
- Group Lasso implementation following the scikit-learn API☆107Updated last year
- ☆88Updated 7 months ago
- An extension of CatBoost to probabilistic modelling☆149Updated 2 years ago
- A toolbox for fair and explainable machine learning☆55Updated last year
- 💊 Comparing causality methods in a fair and just way.☆141Updated 5 years ago
- Rule Extraction Methods for Interactive eXplainability☆48Updated 3 years ago
- Multi-Objective Counterfactuals☆43Updated 3 years ago
- scikit-learn contrib estimators☆199Updated 3 weeks ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆177Updated 3 years ago
- Public home of pycorels, the python binding to CORELS☆79Updated 5 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆192Updated 4 years ago
- Hypothesis and statistical testing in Python☆65Updated 5 years ago
- Causal Graphical Models in Python☆249Updated 2 years ago
- A scikit-learn compatible implementation of hyperband☆77Updated 6 years ago