MEMTO accepted at NeurIPS 2023

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

TSB-AD: Towards A Reliable Time-Series Anomaly Detection Benchmark

A framework for easy running and evaluating your TSAD algorithm.

⭐️一款好用又强大的开源社区，基于 Spring Boot、MyBatis-Plus、MySQL、Redis、ElasticSearch、MongoDB、Docker、RabbitMQ 等主流技术栈，附详细教程，包括Java、Spring、MySQL、Redis、微服务&分布式、消息队列等核心知识点。学编程，就上技术派😁。

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

A Library for Advanced Deep Time Series Models.

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

AWS SDK for C++

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

A C++ header-only HTTP/HTTPS server and client library

Multivariate Time Series Transformer, public version

Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis

Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

LSTM Auto-Encoder (LSTM-AE) implementation in Pytorch

多维监测指标的异常定位比赛

WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

图书管理系统( Spring+Spring MVC+JdbcTemplate)

工作区 版本管理