An Open-Source Library for the interpretability of time series classifiers
☆144Nov 19, 2025Updated 10 months ago
Alternatives and similar repositories for TSInterpret
Users that are interested in TSInterpret are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Unified Model Interpretability Library for Time Series☆72May 18, 2026Updated 4 months ago
- "TSEvo: Counterfactuals for Time Series Classification" accepted at ICMLA '22.☆15Dec 22, 2022Updated 3 years ago
- ☆11Dec 8, 2023Updated 2 years ago
- A list of (post-hoc) XAI for time series☆190Aug 19, 2026Updated last month
- Local Interpretable Model-Agnostic Explanations For Time Series Forecast Models☆22Sep 15, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆77May 31, 2022Updated 4 years ago
- ☆17Aug 30, 2023Updated 3 years ago
- XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification☆16Apr 18, 2023Updated 3 years ago
- This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classi…☆22Jun 24, 2021Updated 5 years ago
- [SIGMOD 2022] Python code for "Dimension-wise Class Activation Map for Multivariate Time Series Classification"☆20Oct 8, 2025Updated 11 months ago
- ☆17Dec 11, 2022Updated 3 years ago
- Implementation of the InterpretTime framework☆57Apr 13, 2023Updated 3 years ago
- ☆15Mar 8, 2023Updated 3 years ago
- Code for the CubeRefine R-CNN model of our CVPRW '23 paper "Parcel3D: Shape Reconstruction From Single RGB Images for Applications in Tra…☆18Jul 12, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code from our paper "Template-guided Illumination Correction for Document Images with Imperfect Geometric Reconstruction " (ICCVW) 2023.☆29Feb 7, 2024Updated 2 years ago
- A PyTorch implementation of learning shapelets from the paper Grabocka et al., „Learning Time-Series Shapelets“.☆68Mar 3, 2022Updated 4 years ago
- Counterfactual Explanations for Multivariate Time Series Data☆35Mar 7, 2024Updated 2 years ago
- ☆13May 27, 2023Updated 3 years ago
- ☆176Aug 28, 2026Updated 3 weeks ago
- Deep Visual Analytics for Time Series☆28Mar 31, 2025Updated last year
- DATA-AIDED PAIRS TRADING VIA LEARNED KALMAN WITH BOLLINGER BANDS☆35Oct 13, 2022Updated 3 years ago
- Fast computation of the Baker-Campbell-Hausdorff and similar series.☆14Nov 28, 2025Updated 9 months ago
- Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks☆10Aug 21, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Devcontainer for using LaTeX in VS Code with auto-formatting and one-click arXiv export and link check.☆30Jun 16, 2026Updated 3 months ago
- An intuitive library to extract features from time series.☆1,101Sep 15, 2026Updated last week
- A toolkit for time series machine learning and deep learning☆1,447Updated this week
- Easily create an instance segmentation dataset from an existing pool of objects of interest, distractor objects and background images. Ea…☆27Jan 31, 2023Updated 3 years ago
- Jithsaavvy / Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-projectThis research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and pro…☆31Jul 30, 2022Updated 4 years ago
- TSForecasting: Automated Time Series Forecasting Framework☆30Feb 10, 2026Updated 7 months ago
- Factor Expression + Historical Data = Factor Values☆31Jan 23, 2024Updated 2 years ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆6,123Jul 23, 2026Updated last month
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆78Mar 26, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆46May 18, 2026Updated 4 months ago
- XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification☆50Nov 27, 2022Updated 3 years ago
- A Python framework for the quantitative evaluation of eXplainable AI methods☆18Mar 29, 2023Updated 3 years ago
- Multivariate Time Series Classification- Activity Recognition☆16Jun 5, 2020Updated 6 years ago
- Based on paper Learning Embedded Representation of the Stock Correlation Matrix using Graph Machine Learning☆13Dec 24, 2022Updated 3 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆54Jul 6, 2023Updated 3 years ago
- Adapting LIME explanations for Time Series Data☆16Oct 31, 2024Updated last year