Alternatives and similar repositories for DeepSphere:

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

• RomainSabathe / dagmm
  A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.
  ☆69Updated 4 years ago
• robustml-eurecom / usad
  ☆18Updated 2 years ago
• boschresearch / local_neural_transformations
  Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Lo…
  ☆16Updated 3 years ago
• haoyfan / AnomalyDAE
  AnomalyDAE (ICASSP2020)
  ☆50Updated 4 years ago
• NikhilGupta1997 / LookOut
  Beyond Outlier Detection: LookOut for Pictorial Explanation
  ☆26Updated 6 years ago
• yzhao062 / UOMS
  Resources and environment for unsupervised outlier model selection (UOMS)
  ☆23Updated 2 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆72Updated 5 years ago
• kaize0409 / Meta-GDN_AnomalyDetection
  Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
  ☆55Updated last year
• wxdang / MSCRED
  tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
  ☆63Updated 5 years ago
• kaize0409 / GCN_AnomalyDetection
  Code for Deep Anomaly Detection on Attributed Networks (SDM2019)
  ☆129Updated 3 years ago
• tungk / Bi-VQRAE
  ☆7Updated 3 years ago
• tnakae / DAGMM
  DAGMM Tensorflow implementation
  ☆173Updated last year
• tufts-ml / GAN-Ensemble-for-Anomaly-Detection
  This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.
  ☆39Updated 3 years ago
• EnyanDai / GANF
  Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)
  ☆153Updated 2 years ago
• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆45Updated 3 years ago
• WangXuhongCN / OCGNN
  my implement of my paper
  ☆63Updated 3 years ago
• tuslkkk / tadpak
  Towards a Rigorous Evaluation of Time-series Anomaly Detection (AAAI'22)
  ☆30Updated 3 years ago
• sambaranban / ONE
  Outlier Aware Network Embedding for Attributed Networks
  ☆19Updated 5 years ago
• haoyfan / Dual-SVDAE
  Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks
  ☆12Updated 3 years ago
• mdabashar / TAnoGAN
  ☆64Updated 4 years ago
• minjiyoon / KDD19-AnomRank
  Anomaly Detection in Dynamic Graphs
  ☆32Updated last year
• Call2CodeAI / RAD_and_DeepAutoencoder
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆10Updated 6 years ago
• chengw07 / NetWalk
  ☆58Updated 5 years ago
• dhivyaeswaran / sedanspot
  SedanSpot: Detecting Anomalies in Edge Streams
  ☆24Updated 6 years ago
• cfeng783 / NSIBF
  Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
  ☆41Updated 2 years ago
• RongrongMa / GLocalKD
  Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
  ☆32Updated 3 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆48Updated 3 years ago
• wagner-d / TimeSeAD
  ☆47Updated 2 months ago
• spindro / GINN
  Graph Imputation Neural Network
  ☆78Updated 5 years ago
• ninghaohello / Interpretation2Adversary
  Adversarial learning by utilizing model interpretation
  ☆10Updated 6 years ago