CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
☆302Oct 2, 2023Updated 2 years ago
Alternatives and similar repositories for CARLA
Users that are interested in CARLA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A collection of algorithms of counterfactual explanations.☆53Mar 22, 2021Updated 5 years ago
- Model Agnostic Counterfactual Explanations☆90Sep 30, 2022Updated 3 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
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Mar 24, 2023Updated 3 years ago
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)☆24Jun 26, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,517Jul 13, 2025Updated 10 months ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Dec 27, 2022Updated 3 years ago
- python tools to check recourse in linear classification☆76Jan 8, 2021Updated 5 years ago
- A package for Counterfactual Explanations and Algorithmic Recourse in Julia.☆128Mar 15, 2026Updated 2 months ago
- Generate robust counterfactual explanations for machine learning models☆17Jun 8, 2023Updated 2 years ago
- Easiest way to generate counterfactual explanations☆11Sep 26, 2023Updated 2 years ago
- A modular Python framework for standardized evaluation and benchmarking of online learning models.☆10Nov 24, 2022Updated 3 years ago
- Gaussian Membership Inference Privacy (NeurIPS 2023)☆12Jul 27, 2024Updated last year
- Glacier: Guided Locally Constrained Counterfactual Explanations for Time Series Classification (Machine Learning journal)☆11Mar 15, 2024Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Minimal template for a Python library project☆11Nov 21, 2022Updated 3 years ago
- ☆11Apr 5, 2023Updated 3 years ago
- OmniXAI: A Library for eXplainable AI☆969Jul 23, 2024Updated last year
- Repository of the paper "Imperceptible Adversarial Attacks on Tabular Data" presented at NeurIPS 2019 Workshop on Robust AI in Financial …☆16Nov 9, 2021Updated 4 years ago
- For calculating global feature importance using Shapley values.☆289Updated this week
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆663May 4, 2026Updated 3 weeks ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Apr 23, 2024Updated 2 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆298Jul 6, 2023Updated 2 years ago
- ☆29Nov 2, 2021Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Multi-Objective Counterfactuals☆43Jul 8, 2022Updated 3 years ago
- A collection of research materials on explainable AI/ML☆1,640Mar 7, 2026Updated 2 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆254Aug 17, 2024Updated last year
- A Python package for feature selection on a simulated data stream☆10Apr 21, 2022Updated 4 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,590May 22, 2026Updated last week
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,465Jun 26, 2024Updated last year
- Interpretability and explainability of data and machine learning models☆1,776May 22, 2026Updated last week
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆79Apr 13, 2026Updated last month
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,123Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Jan 7, 2021Updated 5 years ago
- ☆44May 17, 2020Updated 6 years ago
- Datasets derived from US census data☆286May 15, 2024Updated 2 years ago
- A unified framework for Deep Learning Models on tabular data☆1,666Apr 17, 2026Updated last month
- A Python package for causal inference in quasi-experimental settings☆1,146Updated this week
- Strategies to deploy deep learning models☆27Jul 18, 2018Updated 7 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆47May 30, 2025Updated 11 months ago