Local explanations with uncertainty 💐!
☆42Aug 8, 2023Updated 2 years ago
Alternatives and similar repositories for Modeling-Uncertainty-Local-Explainability
Users that are interested in Modeling-Uncertainty-Local-Explainability are comparing it to the libraries listed below
Sorting:
- bayesian lime☆18Aug 3, 2024Updated last year
- HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)☆22Jan 19, 2023Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Jul 10, 2021Updated 4 years ago
- ☆15Updated this week
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆14Mar 2, 2023Updated 2 years ago
- ☆13Jul 26, 2023Updated 2 years ago
- ☆10Feb 22, 2023Updated 3 years ago
- Explanation Optimization☆13Oct 16, 2020Updated 5 years ago
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- ☆18May 14, 2024Updated last year
- ☆13Aug 29, 2022Updated 3 years ago
- Show ML predictions w/ Streamlit☆12Apr 2, 2024Updated last year
- ☆14Apr 23, 2019Updated 6 years ago
- ☆12Sep 15, 2021Updated 4 years ago
- COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility☆14Feb 3, 2021Updated 5 years ago
- ☆16Jan 26, 2023Updated 3 years ago
- ☆13Mar 14, 2024Updated last year
- Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"☆13Aug 13, 2022Updated 3 years ago
- ☆11Jun 12, 2021Updated 4 years ago
- ☆16Nov 4, 2021Updated 4 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Apr 23, 2024Updated last year
- Functions for easily making publication-quality figures with matplotlib.☆19Jan 20, 2024Updated 2 years ago
- ☆18Oct 29, 2022Updated 3 years ago
- Cross-prediction-powered inference☆15Apr 26, 2024Updated last year
- code released for our TIP 2021 paper "Adversarial Domain Adaptation with Prototype-based Normalized Output Conditioner"☆15May 24, 2023Updated 2 years ago
- Code for the paper "REV: Information-Theoretic Evaluation of Free-Text Rationales"☆16Aug 11, 2023Updated 2 years ago
- Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization☆16Jun 13, 2022Updated 3 years ago
- Convert CVXPY expressions to PyTorch expressions☆19Jul 8, 2025Updated 7 months ago
- Code for "Explainable Data-Driven Optimization" (ICML 2023)☆14Jul 21, 2023Updated 2 years ago
- PyTorch implementation of GLOM☆23Apr 1, 2022Updated 3 years ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆16Updated this week
- Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021☆16Feb 8, 2023Updated 3 years ago
- Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"☆21Apr 30, 2022Updated 3 years ago
- Learning to Estimate Shapley Values with Vision Transformers☆37Jul 19, 2024Updated last year
- ☆12Sep 11, 2022Updated 3 years ago
- Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.☆18Apr 25, 2021Updated 4 years ago
- ☆19May 25, 2023Updated 2 years ago
- Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆17Apr 21, 2023Updated 2 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆20Feb 9, 2024Updated 2 years ago