iancovert / shapley-regressionLinks
For calculating Shapley values via linear regression.
☆72Updated 4 years ago
Alternatives and similar repositories for shapley-regression
Users that are interested in shapley-regression are comparing it to the libraries listed below
Sorting:
- An amortized approach for calculating local Shapley value explanations☆104Updated 2 years ago
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- A collection of algorithms of counterfactual explanations.☆52Updated 4 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 3 years ago
- A package for conformal prediction with conditional guarantees.☆67Updated 2 months ago
- A benchmark for distribution shift in tabular data☆57Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 10 months ago
- ☆30Updated last year
- Local explanations with uncertainty 💐!☆42Updated 2 years ago
- For calculating global feature importance using Shapley values.☆282Updated last week
- A repo for transfer learning with deep tabular models☆105Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆73Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆42Updated 3 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- ☆62Updated 4 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆29Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆88Updated last year
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆141Updated 3 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆153Updated 3 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆33Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆85Updated 4 years ago
- Implementation of the paper "Shapley Explanation Networks"☆89Updated 4 years ago
- Conditional calibration of conformal p-values for outlier detection.☆37Updated 3 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆69Updated 10 months ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year