menajosep / uncertainty_modellerLinks
Machine learning library for uncertainty estimation of black-box classification systems
☆43Updated 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
Sorting:
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆775Updated last month
- A Python package for modular causal inference analysis and model evaluations☆782Updated 4 months ago
- Bias Auditing & Fair ML Toolkit☆727Updated 2 months ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,434Updated 3 weeks ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,488Updated last month
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆613Updated 3 weeks ago
- This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classi…☆20Updated 4 years ago
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆530Updated last month
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆291Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,449Updated last week
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated 11 months ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆696Updated 10 months ago
- Experiments on Tabular Data Models☆278Updated 2 years ago
- ☆497Updated 7 months ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated 2 months ago
- ☆484Updated 11 months ago
- For calculating global feature importance using Shapley values.☆272Updated this week
- Datasets derived from US census data☆268Updated last year
- All about explainable AI, algorithmic fairness and more☆110Updated last year
- A process mining library built upon scikit-learn!☆21Updated 3 weeks ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 2 years ago
- AutoML for causal inference.☆228Updated 7 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆439Updated 11 months ago
- A fairness library in PyTorch.☆29Updated last year
- Python package for Imputation Methods☆248Updated last year
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆341Updated 2 months ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆578Updated last year
- Generalized Optimal Sparse Decision Trees☆56Updated 2 months ago
- Critical difference diagram with Wilcoxon-Holm post-hoc analysis.☆287Updated 2 years ago