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)