beauCoker / age_of_unfairnessLinks
☆13Updated 5 years ago
Alternatives and similar repositories for age_of_unfairness
Users that are interested in age_of_unfairness are comparing it to the libraries listed below
Sorting:
- Optimal Sparse Decision Trees☆107Updated 2 years ago
- Generalized Optimal Sparse Decision Trees☆70Updated last year
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- python tools to check recourse in linear classification☆77Updated 5 years ago
- ☆10Updated 3 years ago
- Non-parametrics for Causal Inference☆50Updated 3 years ago
- Resources related to causality☆266Updated last year
- Multi-Objective Counterfactuals☆43Updated 3 years ago
- ☆81Updated 5 years ago
- ☆18Updated 2 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 5 months ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆60Updated 6 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Updated 4 years ago
- simple customizable risk scores in python☆142Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 3 years ago
- Learning Certifiably Optimal Rule Lists☆176Updated 4 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆44Updated last year
- Tools for conformal inference in regression☆251Updated last year
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies☆82Updated 5 years ago
- Confidence sequences and uniform boundaries☆75Updated last year
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 5 years ago
- A Python package for unwrapping ReLU DNNs☆68Updated last year
- ☆11Updated 7 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆56Updated 7 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Updated 4 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆55Updated 8 years ago
- Comparing fairness-aware machine learning techniques.☆160Updated 3 years ago