Alternatives and similar repositories for KDD-Cup2021-Multi-dataset-Time-Series-Anomaly-Detection

Users that are interested in KDD-Cup2021-Multi-dataset-Time-Series-Anomaly-Detection are comparing it to the libraries listed below

• yantijin / Buzz
  Code for *Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE*
  ☆24Updated 6 years ago
• Sanyam-Mehta / TPA-LSTM-PyTorch
  This is the PyTorch implementation of TPA-LSTM
  ☆60Updated 6 years ago
• eBay / RANSynCoders
  ☆97Updated 2 years ago
• 7fantasysz / MSCRED
  Multi-Scale Convolutional Recurrent Encoder-Decoder
  ☆149Updated 5 years ago
• DAMO-DI-ML / CIKM22-TFAD
  Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis
  ☆56Updated 3 years ago
• mangushev / mtad-gat
  Implementation of MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network
  ☆106Updated 4 years ago
• BUAABIGSCity / KDDCUP2022
  [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
  ☆63Updated 2 years ago
• min-gyu-kang / Anomaly_Detection
  MD,LSTM-AE,VAE-MAD-GAN
  ☆31Updated 4 years ago
• LZhengyu / MSCRED
  Implementation of paper:A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
  ☆29Updated 5 years ago
• DawnsonLi / EVT
  使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置
  ☆97Updated 6 years ago
• MarkusThill / bioma-tcn-ae
  Minimal Working Example of a (baseline) Temporal Convolutional Autoencoder (TCN-AE) for Anomaly Detection in Time Series
  ☆53Updated 4 years ago
• matanle51 / LSTM_AutoEncoder
  LSTM Auto-Encoder (LSTM-AE) implementation in Pytorch
  ☆96Updated 4 years ago
• zhhlee / InterFusion
  KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
  ☆232Updated 4 years ago
• shangzongjiang / MAGNN
  ☆106Updated last year
• zwd2016 / multivariate-time-series-prediction
  This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)
  ☆23Updated 5 years ago
• DAMO-DI-ML / KDD2023-DCdetector
  ☆254Updated 2 years ago
• petecheng / Time2GraphPlus
  Source codes for Time2Graph+ model.
  ☆35Updated 4 years ago
• LauJohansson / AnomalyDetection_VAE_LSTM
  ☆34Updated 3 years ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆123Updated 6 years ago
• qiumiao30 / time-series-anomaly-detection
  List of papers & datasets for anomaly detection on multivariate time-series data.
  ☆25Updated 3 years ago
• NetManAIOps / KPI-Anomaly-Detection
  2018AIOps: The 1st match for AIOps
  ☆92Updated 3 years ago
• qiumiao30 / SLMR
  The implement of An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection
  ☆24Updated 2 years ago
• zackchen-lb / GTA
  Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
  ☆146Updated 3 years ago
• VachelHU / EvoNet
  Time-Series Event Prediction with Evolutionary State Graph, WSDM 2021
  ☆93Updated 4 years ago
• petecheng / Time2Graph
  Source codes for Time2Graph model.
  ☆134Updated 5 years ago
• LeronQ / DA-RNN
  ☆42Updated 5 years ago
• Fengrui-Liu / StreamAD
  Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
  ☆129Updated 2 years ago
• fitzgerald0 / time_series_data_mining
  TensorFlow Probability；Time series model
  ☆127Updated 3 years ago
• EsmeYi / time-series-forcasting
  Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
  ☆52Updated 6 years ago
• brunoklein99 / deepar
  An Implementation of DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
  ☆39Updated 7 years ago