Alternatives and similar repositories for OED

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

• tnakae / DAGMM
  DAGMM Tensorflow implementation
  ☆180Updated 2 years ago
• TimyadNyda / Variational-Lstm-Autoencoder
  Lstm variational auto-encoder for time series anomaly detection and features extraction
  ☆338Updated 5 years ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆122Updated 6 years ago
• ZhouYuxuanYX / Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-
  Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…
  ☆129Updated 3 years ago
• qianlima-lab / DTCR
  The paper "Learning Representations for Time Series Clustering"
  ☆97Updated 5 years ago
• 7fantasysz / MSCRED
  Multi-Scale Convolutional Recurrent Encoder-Decoder
  ☆149Updated 6 years ago
• wxdang / MSCRED
  tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
  ☆64Updated 6 years ago
• y-bar / ml-based-anomaly-detection
  Spectral Residual
  ☆80Updated 3 years ago
• LiDan456 / GAN-AD
  We used generative adversarial networks (GANs) to do anomaly detection for time series data.
  ☆149Updated 7 years ago
• KDD-OpenSource / agots
  Anomaly Generator on Time Series
  ☆54Updated 6 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆94Updated 5 years ago
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆204Updated 3 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆193Updated 6 years ago
• NetManAIOps / KPI-Anomaly-Detection
  2018AIOps: The 1st match for AIOps
  ☆95Updated 3 years ago
• swlee052 / deep-learning-time-series-anomaly-detection
  An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'
  ☆49Updated 5 years ago
• petecheng / Time2Graph
  Source codes for Time2Graph model.
  ☆134Updated 5 years ago
• Luoyonghong / E2EGAN
  ☆85Updated 6 years ago
• JacobWang95 / mWDN
  ☆53Updated 7 years ago
• danieltan07 / dagmm
  My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
  ☆421Updated 3 years ago
• eBay / RANSynCoders
  ☆99Updated 2 years ago
• danielgy / Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning
  ☆190Updated 8 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆262Updated last year
• oneday88 / deepTCN
  ☆158Updated 4 years ago
• hfawaz / aaltd18
  Data augmentation using synthetic data for time series classification with deep residual networks
  ☆182Updated 7 years ago
• yantijin / Buzz
  Code for *Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE*
  ☆24Updated 6 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
  ☆98Updated 7 years ago
• iopsai / iops
  ☆38Updated 3 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆149Updated 4 years ago
• microsoft / anomalydetector
  SR-CNN
  ☆266Updated 3 years ago
• LiDan456 / MAD-GANs
  Applied generative adversarial networks (GANs) to do anomaly detection for time series data
  ☆576Updated 6 years ago