Alternatives and similar repositories for RobustSTL:

Users that are interested in RobustSTL are comparing it to the libraries listed below

• arrigonialberto86 / deepar
  Tensorflow implementation of Amazon DeepAR
  ☆306Updated 3 years ago
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆184Updated 6 years ago
• NetManAIOps / KPI-Anomaly-Detection
  2018AIOps: The 1st match for AIOps
  ☆83Updated 2 years ago
• ariaghora / robust-period
  Unofficial Implementation of RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection
  ☆94Updated last year
• rajatsen91 / deepglo
  This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…
  ☆168Updated 4 years ago
• KDD-OpenSource / DeepADoTS
  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
  ☆579Updated 2 years ago
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆195Updated 2 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆385Updated 4 years ago
• microsoft / anomalydetector
  SR-CNN
  ☆259Updated 2 years ago
• manigalati / usad
  ☆224Updated 11 months ago
• husnejahan / DeepAR-pytorch
  ☆258Updated 3 years ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆138Updated 3 years ago
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆213Updated 4 years ago
• White-Link / UnsupervisedScalableRepresentationLearningTimeSeries
  Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
  ☆397Updated 7 months ago
• kdgutier / esrnn_torch
  ☆157Updated 3 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆261Updated 8 months ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆72Updated 5 years ago
• jingw2 / demand_forecast
  ☆459Updated last year
• swlee052 / deep-learning-time-series-anomaly-detection
  An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'
  ☆49Updated 4 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆173Updated 2 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆138Updated 6 years ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆252Updated 5 years ago
• NetManAIOps / OmniAnomaly
  KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
  ☆775Updated last year
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆93Updated 5 years ago
• y-bar / ml-based-anomaly-detection
  Spectral Residual
  ☆79Updated 2 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆148Updated 3 years ago
• datamllab / pyodds
  An End-to-end Outlier Detection System
  ☆253Updated last year
• vincent-leguen / DILATE
  Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"
  ☆375Updated 4 years ago
• Zhenye-Na / DA-RNN
  📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
  ☆424Updated 4 years ago
• LiDan456 / MAD-GANs
  Applied generative adversarial networks (GANs) to do anomaly detection for time series data
  ☆538Updated 5 years ago