menajosep / uncertainty_modeller
Machine learning library for uncertainty estimation of black-box classification systems
☆42Updated 2 years ago
Alternatives and similar repositories for uncertainty_modeller:
Users that are interested in uncertainty_modeller are comparing it to the libraries listed below
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆100Updated 2 years ago
- Hands-on tutorial on ML Fairness☆70Updated last year
- Model Agnostic Counterfactual Explanations☆86Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆42Updated 6 months ago
- A fairness library in PyTorch.☆27Updated 6 months ago
- LOcal Rule-based Exlanations☆51Updated last year
- Datasets derived from US census data☆251Updated 9 months ago
- For calculating global feature importance using Shapley values.☆264Updated last week
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆286Updated last year
- ☆49Updated last year
- [AMAI 2024] Selective: Feature Selection Library☆67Updated 2 months ago
- Minimal template for a Python library project☆11Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- 💊 Comparing causality methods in a fair and just way.☆138Updated 4 years ago
- Effector - a Python package for global and regional effect methods☆63Updated this week
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Model Error Analysis for scikit-learn models.☆29Updated 3 years ago
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆239Updated 6 months ago
- A process mining library built upon scikit-learn!☆19Updated 3 weeks ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆53Updated last month
- Bias Auditing & Fair ML Toolkit☆706Updated 5 months ago
- An Open-Source Library for the interpretability of time series classifiers☆129Updated 2 months ago
- Generalized Optimal Sparse Decision Trees☆62Updated 11 months ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated last year
- Create sparse and accurate risk scoring systems!☆35Updated 6 months ago
- Bayesian Additive Regression Trees For Python☆221Updated last year
- Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.☆134Updated last week
- A toolbox for fair and explainable machine learning☆55Updated 8 months ago