Alternatives and similar repositories for DAGMM-pytorch

Users that are interested in DAGMM-pytorch are comparing it to the libraries listed below

• Forcrush / Efficient-GAN-based-method-for-cyber-intrusion
  A GAN-based model focused on anomaly detection in discrete dataset
  ☆26Updated 5 years ago
• dreizehnutters / pcapAE
  convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.
  ☆17Updated last year
• eBay / RANSynCoders
  ☆96Updated 2 years ago
• jukworks / swat-seq2seq
  Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks
  ☆51Updated 6 years ago
• elisejiuqizhang / USAD-on-WADI-and-SWaT
  Unofficial implementation of the KDD2020 paper "USAD: UnSupervised Anomaly Detection on multivariate time series" on two datasets cited i…
  ☆70Updated 2 years ago
• sailorlee97 / FlowGANAnomaly
  This project is an open-source project based on a GAN network anomaly detection.
  ☆13Updated last year
• pfreitasaf / FIDGAN
  ☆21Updated 5 years ago
• intrudetection / robevalanodetect
  ☆11Updated last year
• omar-rh / NIDS-based-on-DL-with-imbalanced-NSL-KDD
  the DL methods used are : DNN, CNN, LSTM, GRU, CNN-LSTM, CNN-GRU, CNN-BiLSTM, CNN-BiGRU, the dataset used is : imbalanced NSL-KDD (KDDTra…
  ☆46Updated 3 years ago
• zhhlee / InterFusion
  KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
  ☆232Updated 4 years ago
• Kyanji / MAGNETO
  ☆20Updated 9 months ago
• yue123161 / Paper_TNSM
  Code for paper: Contrastive Learning Enhanced Intrusion Detection
  ☆18Updated 2 years ago
• yuanshuai666 / CANET
  CANET: An Effective CNN-Attention Model for Network Intrusion Detection
  ☆37Updated 2 years ago
• cx0113 / fine-grained-unknown-attack-detection
  ☆21Updated 4 years ago
• waimorris / Anomal-E
  A PyTorch implementation of of Anomal-E.
  ☆35Updated 2 years ago
• yj-zhou / Feature_Encoding_with_AutoEncoders_for_Weakly-supervised_Anomaly_Detection
  ☆46Updated 4 years ago
• renj-xu / NEGSC
  NEGSC
  ☆41Updated last year
• racsa-lab / Edge-Detect
  Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".
  ☆47Updated 2 years ago
• AshinWang / ConFlow
  Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"
  ☆14Updated 3 years ago
• FlamingJay / Time-related-Intrusion-Detection-Model-based-on-Recurrent-Neural-Network
  Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.
  ☆74Updated 5 years ago
• FlamingJay / Hierarchical-Attention-Model-for-Intrusion-Detection
  We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…
  ☆12Updated 5 years ago
• ZhangJiTaoA / An-Intrusion-Detection-Model-with-Transformer-BiLSTM
  ☆47Updated 3 years ago
• zackchen-lb / GTA
  Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
  ☆145Updated 3 years ago
• cbhua / swat-preprocess
  A tool for data preprocess on iTrust SWaT dataset.
  ☆55Updated 3 years ago
• 7fantasysz / MSCRED
  Multi-Scale Convolutional Recurrent Encoder-Decoder
  ☆147Updated 5 years ago
• Varad2305 / Time-Series-Anomaly-Detection
  Repository for the paper titled "Attention-based Bi-LSTM for Anomaly Detection on Time-Series Data"
  ☆22Updated 4 years ago
• Albertsr / Anomaly-Detection
  UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
  ☆301Updated 4 years ago
• SYLan2019 / Transformer-Gan-Anomaly-Detection
  A Transformer-based GAN for Anomaly Detection, International Conference on Artificial Neural Networks, (ICANN2022).
  ☆22Updated 2 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
• BNN-UPC / GNN-NIDS
  ☆51Updated 3 years ago