janezd / baycomp
☆74Updated last year
Alternatives and similar repositories for baycomp:
Users that are interested in baycomp are comparing it to the libraries listed below
- Tutorial on Bayesian tests for Machine Learning☆78Updated 4 years ago
- ☆76Updated 7 months ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆174Updated 2 years ago
- Extended Complexity Library in R☆57Updated 4 years ago
- Learning Certifiably Optimal Rule Lists☆174Updated 3 years ago
- Python Meta-Feature Extractor package.☆133Updated 10 months ago
- Software to create Precision-Recall-Gain curves and calculate area under the curve☆40Updated 2 years ago
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Distance correlation and related E-statistics in Python☆148Updated 8 months ago
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 8 months ago
- Public home of pycorels, the python binding to CORELS☆79Updated 4 years ago
- Fast and modular sklearn replacement for generalized linear models☆172Updated this week
- Causal Graphical Models in Python☆246Updated 2 years ago
- simple customizable risk scores in python☆137Updated last year
- Home of the PipeGraph extension to Scikit-Learn☆24Updated last month
- pymc-learn: Practical probabilistic machine learning in Python☆228Updated 4 years ago
- A toolbox for fair and explainable machine learning☆55Updated 10 months ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆149Updated 2 years ago
- An extension of CatBoost to probabilistic modelling☆142Updated last year
- Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computa…☆34Updated 4 years ago
- Generalized Optimal Sparse Decision Trees☆63Updated last year
- Group Lasso implementation following the scikit-learn API☆106Updated 11 months ago
- Optimal Sparse Decision Trees☆104Updated 2 years ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆71Updated last year
- scikit-learn contrib estimators☆194Updated last month
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆225Updated last week
- A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.☆94Updated 2 weeks ago
- Scikit-learn compatible estimation of general graphical models☆247Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year