Code for "Generative causal explanations of black-box classifiers"
☆36Jan 15, 2021Updated 5 years ago
Alternatives and similar repositories for generative-causal-explanations
Users that are interested in generative-causal-explanations are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆19Jun 15, 2020Updated 6 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Mar 24, 2023Updated 3 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Jul 8, 2022Updated 4 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 for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆18Sep 9, 2022Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022☆74Jul 15, 2022Updated 3 years ago
- GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations☆37Jan 23, 2026Updated 5 months ago
- Connectivity-contrastive learning (CCL)☆12Feb 16, 2023Updated 3 years ago
- ☆38May 12, 2026Updated last month
- Self-Explaining Neural Networks☆46Feb 1, 2020Updated 6 years ago
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Jul 31, 2023Updated 2 years ago
- Tools for robustness evaluation in interpretability methods☆10Jun 25, 2021Updated 5 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Dec 27, 2022Updated 3 years ago
- ☆16May 25, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official repository for the AAAI-21 paper 'Explainable Models with Consistent Interpretations'☆18Apr 5, 2022Updated 4 years ago
- ☆22Jan 14, 2021Updated 5 years ago
- An implementation of TRPO with GAE in PyTorch☆16Jul 22, 2023Updated 2 years ago
- ☆16May 9, 2022Updated 4 years ago
- ☆28Feb 19, 2023Updated 3 years ago
- Code repository for the WWW 2019 paper "Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness"☆12Feb 1, 2019Updated 7 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Apr 25, 2019Updated 7 years ago
- GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset☆18Feb 20, 2022Updated 4 years ago
- Explaining neural decisions contrastively to alternative decisions.☆24Mar 18, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Dec 14, 2020Updated 5 years ago
- Distilling Model Failures as Directions in Latent Space☆48Feb 8, 2023Updated 3 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆17Oct 24, 2021Updated 4 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Mar 25, 2022Updated 4 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Mar 22, 2021Updated 5 years ago
- code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076☆100Apr 29, 2020Updated 6 years ago
- Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)☆33Sep 21, 2020Updated 5 years ago
- ☆10Sep 21, 2020Updated 5 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆52Jun 10, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆77Nov 21, 2017Updated 8 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆67Oct 10, 2022Updated 3 years ago
- ☆20Oct 12, 2021Updated 4 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆56Jun 14, 2020Updated 6 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Jun 27, 2023Updated 3 years ago
- Neural Additive Models (Google Research)☆75Sep 29, 2021Updated 4 years ago
- tensor-train tensor completion (T3C), which is based on tt decomposition and gradient descent.☆13Jun 27, 2018Updated 8 years ago