Source code for the paper "From Benchmarks to Production: Transferring Time Series Anomaly Detection Methods for Electricity Production Monitoring"

Dataset of the paper "From Benchmarks to Production: Transferring Time Series Anomaly Detection Methods for Electricity Production Monitoring"

A unified benchmark for streaming Time Series Anomaly Detection that compares static, online, and streaming methods under the same protocol.

Extending Model Selection for Anomaly Detection in Time Series with Weighted Averages

[KDD 2025] NILMFormer: A Sequence-To-Sequence Non-Stationarity Aware Transformer for Non-Intrusive Load Monitoring

The Abstraction and Reasoning Corpus

A toolkit for time series machine learning and deep learning

[VLDB 2024] ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series

[EUSIPCO 2024] Python implementation of "ASTRIDE: Adaptive Symbolization for Time Series Databases"

An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection

Code for the paper: Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration (ECCV 2020)