vanbanTruong / FAHTLinks
Code for reproducing results in FAHT (IJCAI 19)
☆8Updated 5 years ago
Alternatives and similar repositories for FAHT
Users that are interested in FAHT are comparing it to the libraries listed below
Sorting:
- Accuracy and fairness trade-offs: A stochastic multi-objective approach☆11Updated 4 years ago
- For calculating Shapley values via linear regression.☆68Updated 4 years ago
- Versatile Verification of Tree Ensembles☆17Updated last year
- A benchmark for distribution shift in tabular data☆53Updated last year
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆20Updated last week
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆69Updated 4 years ago
- A collection of resources for concept drift data and software☆36Updated 10 years ago
- ☆22Updated 6 years ago
- Datasets for concept drift detection☆28Updated 8 years ago
- ☆12Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- A modular Python framework for standardized evaluation and benchmarking of online learning models.☆9Updated 2 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- Counterfactual Explanations for Multivariate Time Series Data☆33Updated last year
- ☆91Updated 3 years ago
- Local explanations with uncertainty 💐!☆40Updated last year
- Critical difference diagrams with Python and Tikz☆33Updated 8 months ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆55Updated 6 months ago
- An amortized approach for calculating local Shapley value explanations☆99Updated last year
- ☆39Updated 6 years ago
- ☆17Updated last year
- Code for "Counterfactual Fairness" (NIPS2017)☆54Updated 6 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- ☆61Updated 4 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 4 years ago