Alternatives and similar repositories for OCAN

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

• PanpanZheng / OCAN
  ☆52Updated 5 years ago
• leibinghe / GAAL-based-outlier-detection
  GAAL-based Outlier Detection
  ☆132Updated 2 years ago
• kaize0409 / GCN_AnomalyDetection
  Code for Deep Anomaly Detection on Attributed Networks (SDM2019)
  ☆131Updated 3 years ago
• GuansongPang / deviation-network
  Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot …
  ☆152Updated 3 years ago
• GuansongPang / deep-outlier-detection
  Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…
  ☆48Updated 4 years ago
• winstonll / COPOD
  Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"
  ☆60Updated 4 years ago
• tnakae / DAGMM
  DAGMM Tensorflow implementation
  ☆180Updated 2 years ago
• haoyfan / AnomalyDAE
  AnomalyDAE (ICASSP2020)
  ☆52Updated 5 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆72Updated 6 years ago
• yuconan / kddcup2021
  KDD CUP 2021 Multi-dataset Time Series Anomaly Detection
  ☆29Updated 4 years ago
• safe-graph / DGFraud-TF2
  A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
  ☆132Updated 3 years ago
• safe-graph / UGFraud
  An Unsupervised Graph-based Toolbox for Fraud Detection
  ☆130Updated 3 years ago
• iopsai / iops
  ☆38Updated 2 years ago
• Albertsr / Class-Imbalance
  Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
  ☆107Updated 4 years ago
• wxdang / MSCRED
  tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
  ☆64Updated 5 years ago
• abelusha / AutoEncoders-for-Anomaly-Detection
  ☆26Updated 7 years ago
• Albertsr / Anomaly-Detection
  UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
  ☆298Updated 4 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆46Updated 6 years ago
• agoodge / LUNAR
  LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
  ☆44Updated last month
• 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…
  ☆127Updated 2 years ago
• farshidrayhancv / CUSBoost
  ☆22Updated 5 years ago
• WangXuhongCN / OCGNN
  my implement of my paper
  ☆63Updated 3 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆78Updated 5 years ago
• KMdsy / DTCR
  Tensorflow implementation of paper 'Learning Representations for Time Series Clustering' (NIPS 2019 accept paper).
  ☆20Updated 3 years ago
• DJofOUC / IEEE-CIS-Fraud-Detection
  kaggle: IEEE-CIS Fraud Detection
  ☆31Updated 5 years ago
• yzhao062 / XGBOD
  Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
  ☆85Updated 5 years ago
• y-bar / ml-based-anomaly-detection
  Spectral Residual
  ☆79Updated 2 years ago
• pfmarteau / DiFF-RF
  Forest of random partitioning trees for point-wise and collective anomaly detection
  ☆11Updated 8 months ago
• LiDan456 / GAN-AD
  We used generative adversarial networks (GANs) to do anomaly detection for time series data.
  ☆150Updated 6 years ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆124Updated 6 years ago