thutzr / GLIME-General-Stable-and-Local-LIME-ExplanationLinks
GLIME is a post-hoc explanation method which is proved to be much more stable and faithful than LIME.
☆14Updated 8 months ago
Alternatives and similar repositories for GLIME-General-Stable-and-Local-LIME-Explanation
Users that are interested in GLIME-General-Stable-and-Local-LIME-Explanation are comparing it to the libraries listed below
Sorting:
- Implementation of the InterpretTime framework☆46Updated 2 years ago
- Unified Model Interpretability Library for Time Series☆60Updated last month
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆76Updated 3 years ago
- Time series explainability via self-supervised model behavior consistency☆48Updated last year
- A list of (post-hoc) XAI for time series☆149Updated 9 months ago
- Local explanations with uncertainty 💐!☆40Updated last year
- XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification☆49Updated 2 years ago
- [KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation☆53Updated last year
- A benchmark for distribution shift in tabular data☆53Updated last year
- For calculating Shapley values via linear regression.☆68Updated 4 years ago
- An amortized approach for calculating local Shapley value explanations☆99Updated last year
- Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…☆21Updated 11 months ago
- bayesian lime☆17Updated 10 months ago
- Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure☆10Updated 4 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆58Updated 2 years ago
- XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification☆15Updated 2 years ago
- A curated list of time series augmentation resources.☆65Updated 3 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 2 years ago
- ULTS: A unified and standardized library of unsupervised representation learning approaches for time series☆47Updated last year
- Counterfactual Explanations for Multivariate Time Series Data☆33Updated last year
- The code for "MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction"☆12Updated 4 months ago
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆119Updated last year
- Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations☆28Updated 8 months ago
- Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"☆31Updated 10 months ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆121Updated 2 years ago
- ☆63Updated 3 years ago
- ☆8Updated last year
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆69Updated 4 years ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆78Updated 2 years ago
- Feature Importance Analysis of Models☆11Updated 3 years ago