mkusner / counterfactual-fairnessLinks
Code for "Counterfactual Fairness" (NIPS2017)
☆55Updated 7 years ago
Alternatives and similar repositories for counterfactual-fairness
Users that are interested in counterfactual-fairness are comparing it to the libraries listed below
Sorting:
- Python code for training fair logistic regression classifiers.☆192Updated 4 years ago
- Datasets derived from US census data☆274Updated last year
- Non-parametrics for Causal Inference☆50Updated 3 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Updated 4 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 7 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆86Updated 4 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- ☆30Updated 3 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆155Updated last year
- Fair Empirical Risk Minimization (FERM)☆37Updated 5 years ago
- CPDAG Estimation using PC-Algorithm☆95Updated 3 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆66Updated last year
- A data index for learning causality.☆482Updated 2 years ago
- library for fair auditing and learning of classifiers with respect to rich subgroup fairness.☆32Updated 6 years ago
- python tools to check recourse in linear classification☆77Updated 5 years ago
- Resources related to causality☆267Updated last year
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆66Updated 5 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆45Updated last year
- Comparing fairness-aware machine learning techniques.☆160Updated 3 years ago
- ☆205Updated 2 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- ☆11Updated 7 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Updated 2 years ago
- Counterfactual Regression☆318Updated 3 years ago
- ☆24Updated 2 years ago
- Short tutorials on the use of machine learning methods for causal inference☆50Updated 3 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆354Updated 5 years ago
- This is a collection of papers and other resources related to fairness.☆95Updated 2 months ago