vsubbian / WindowSHAPLinks
A model-agnostic framework for explaining time-series classifiers using Shapley values
☆23Updated last year
Alternatives and similar repositories for WindowSHAP
Users that are interested in WindowSHAP are comparing it to the libraries listed below
Sorting:
- Unified Model Interpretability Library for Time Series☆71Updated 2 months ago
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆75Updated 3 years ago
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆129Updated 2 years ago
- Counterfactual Explanations for Multivariate Time Series Data☆35Updated last year
- Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets) NeurI…☆205Updated 3 weeks ago
- An Open-Source Library for the interpretability of time series classifiers☆144Updated last week
- XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification☆49Updated 3 years ago
- Code for paper "Copula-based conformal prediction for Multi-Target Regression"☆34Updated 4 years ago
- Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. ReadTheDocs documentation is not up …☆35Updated last year
- A list of (post-hoc) XAI for time series☆166Updated last year
- This repository contains the source code for time series regression.☆107Updated 2 years ago
- ☆66Updated 3 years ago
- TimeVAE implementation in keras/tensorflow☆158Updated 8 months ago
- TimeSHAP explains Recurrent Neural Network predictions.☆193Updated last year
- A PyTorch implementation of learning shapelets from the paper Grabocka et al., „Learning Time-Series Shapelets“.☆64Updated 3 years ago
- ☆62Updated 4 years ago
- Valid and adaptive prediction intervals for probabilistic time series forecasting.☆99Updated 8 months ago
- Causal Neural Nerwork☆141Updated 2 months ago
- Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering☆28Updated last month
- Codebase for "Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)"☆34Updated last week
- This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time…☆236Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆77Updated last year
- XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification☆15Updated 2 years ago
- a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domai…☆220Updated this week
- ☆91Updated 4 years ago
- Conformal prediction for time-series applications.☆128Updated 2 years ago
- Transfer 🤗 Learning for Time Series Forecasting☆253Updated 11 months ago
- This repository contains the time series segmentation benchmark (TSSB).☆78Updated 8 months ago
- Evaluation Tool for Anomaly Detection Algorithms on Time Series☆145Updated this week
- An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.☆79Updated 2 years ago