janezd / baycompLinks
☆74Updated last year
Alternatives and similar repositories for baycomp
Users that are interested in baycomp are comparing it to the libraries listed below
Sorting:
- Tutorial on Bayesian tests for Machine Learning☆79Updated 4 years ago
- ☆79Updated this week
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Meaningful Local Explanation for Machine Learning Models☆41Updated 2 years ago
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 2 years ago
- Public home of pycorels, the python binding to CORELS☆80Updated 4 years ago
- Python Meta-Feature Extractor package.☆133Updated 11 months ago
- Extended Complexity Library in R☆57Updated 4 years ago
- simple customizable risk scores in python☆137Updated last year
- Distance correlation and related E-statistics in Python☆149Updated 9 months ago
- Fast and modular sklearn replacement for generalized linear models☆173Updated last week
- Learning Certifiably Optimal Rule Lists☆175Updated 3 years ago
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆79Updated last week
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆226Updated last month
- Causal Graphical Models in Python☆246Updated 2 years ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆98Updated last year
- Create sparse and accurate risk scoring systems!☆37Updated 10 months ago
- Generalized Optimal Sparse Decision Trees☆63Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 9 months ago
- python tools to check recourse in linear classification☆76Updated 4 years ago
- Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computa…☆34Updated 4 years ago
- Optimal Sparse Decision Trees☆104Updated 2 years ago
- Group Lasso implementation following the scikit-learn API☆106Updated 11 months ago
- Competing Risks and Survival Analysis☆102Updated 2 weeks ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆174Updated 2 years ago
- A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.☆94Updated 2 weeks ago
- Code source of Learning Binary Trees by Argmin Differentiation.☆12Updated 2 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆104Updated last year
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆81Updated 5 months ago