socialfoundations / folktables
Datasets derived from US census data
☆258Updated 11 months ago
Alternatives and similar repositories for folktables:
Users that are interested in folktables are comparing it to the libraries listed below
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆52Updated 6 years ago
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- library for fair auditing and learning of classifiers with respect to rich subgroup fairness.☆32Updated 5 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated last year
- Hands-on tutorial on ML Fairness☆71Updated last year
- python tools to check recourse in linear classification☆76Updated 4 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆245Updated 8 months ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆32Updated 4 months ago
- LOcal Rule-based Exlanations☆53Updated last year
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- Repository of experiments in fairness Machine Learning.☆9Updated 10 months ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆124Updated last week
- 💡 Adversarial attacks on explanations and how to defend them☆314Updated 4 months ago
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- ☆314Updated 2 years ago
- A toolbox for differentially private data generation☆131Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆96Updated 2 months ago
- ☆31Updated 3 years ago
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 2 years ago
- This is a collection of papers and other resources related to fairness.☆92Updated last year
- An amortized approach for calculating local Shapley value explanations☆97Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆74Updated 4 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆15Updated 4 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆169Updated 11 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆288Updated last year
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago