Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
☆37Dec 27, 2022Updated 3 years ago
Alternatives and similar repositories for recourse
Users that are interested in recourse are comparing it to the libraries listed below
Sorting:
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Mar 24, 2023Updated 2 years ago
- ☆16May 9, 2022Updated 3 years ago
- Generate robust counterfactual explanations for machine learning models☆16Jun 8, 2023Updated 2 years ago
- ☆10Nov 11, 2016Updated 9 years ago
- This repository provides an implementation of DeCaFlow, designed for ease of integration and usability. The codebase is clean, concise, a…☆27Dec 19, 2025Updated 2 months ago
- Efficient joint input optimization and inference with DEQ☆10Nov 25, 2021Updated 4 years ago
- Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18☆24Sep 23, 2020Updated 5 years ago
- Spherical random features for polynomial kernels☆10Dec 1, 2015Updated 10 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Aug 16, 2017Updated 8 years ago
- Implementation of the paper titled: "FACE: Feasible and actionable counterfactual recourse" by Rafael et. at. - https://arxiv.org/pdf/190…☆14Dec 12, 2020Updated 5 years ago
- Tools for robustness evaluation in interpretability methods☆11Jun 25, 2021Updated 4 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆29Feb 28, 2024Updated 2 years ago
- python tools to check recourse in linear classification☆76Jan 8, 2021Updated 5 years ago
- ☆12Mar 1, 2022Updated 4 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Feb 13, 2023Updated 3 years ago
- Code for our ICML '19 oral paper: Neural Network Attributions: A Causal Perspective.☆51Nov 20, 2021Updated 4 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆14Apr 25, 2019Updated 6 years ago
- Tensorflow implementation for the Class-wise Selective Rationalization☆15Feb 15, 2023Updated 3 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 2 years ago
- Algorithms for generating synthetic data☆16Jun 18, 2024Updated last year
- ☆30Apr 24, 2024Updated last year
- Code for "Generative causal explanations of black-box classifiers"☆35Jan 15, 2021Updated 5 years ago
- Efficient and readable change point detection package implemented in Python. (Singular Spectrum Transformation - SST, IKA-SST, ulSIF, RuL…☆33Feb 6, 2026Updated 3 weeks ago
- Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021☆16Feb 8, 2023Updated 3 years ago
- ☆46Jul 25, 2024Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆300Oct 2, 2023Updated 2 years ago
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆21Mar 3, 2025Updated 11 months ago
- Python Implementation of STreeD: Dynamic Programming Approach for Optimal Decision Trees with Separable objectives and Constraints☆18Nov 28, 2025Updated 3 months ago
- Some notes on Causal Inference, with examples in python☆156Feb 24, 2020Updated 6 years ago
- This is the reference implementation of our NeurIPS 2023 paper "Add and Thin: Diffusion for Temporal Point Processes"☆20Mar 4, 2024Updated last year
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Nov 8, 2021Updated 4 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Jun 7, 2021Updated 4 years ago
- ☆17Oct 25, 2016Updated 9 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆47May 30, 2025Updated 9 months ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Apr 26, 2022Updated 3 years ago
- Code and real data for "Counterfactual Temporal Point Processes", NeurIPS 2022☆17Sep 26, 2022Updated 3 years ago
- FPGrowth Algorithm implementation in TypeScript / JavaScript.☆20May 14, 2018Updated 7 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆48Mar 31, 2022Updated 3 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Feb 25, 2023Updated 3 years ago