Alternatives and similar repositories for Deep-Learning-for-Anomaly-Detection-A-Survey

Users that are interested in Deep-Learning-for-Anomaly-Detection-A-Survey are comparing it to the libraries listed below

• leibinghe / GAAL-based-outlier-detection
  GAAL-based Outlier Detection
  ☆134Updated 3 years ago
• zc8340311 / RobustAutoencoder
  A combination of Autoencoder and Robust PCA
  ☆188Updated last year
• JGuymont / vae-anomaly-detector
  Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
  ☆65Updated 2 years ago
• oyxhust / wgan-gp-anomaly
  gan, wgan-gp, anomaly detection, unsupervised, pytorch
  ☆129Updated 6 years ago
• danielgy / Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning
  ☆189Updated 7 years ago
• y-bar / ml-based-anomaly-detection
  Spectral Residual
  ☆79Updated 2 years ago
• tnakae / DAGMM
  DAGMM Tensorflow implementation
  ☆180Updated 2 years ago
• lukasruff / Deep-SVDD
  Repository for the Deep One-Class Classification ICML 2018 paper
  ☆257Updated 6 years ago
• yzhao062 / SUOD
  (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
  ☆391Updated 7 months ago
• raghavchalapathy / oc-nn
  Repository for the One class neural networks paper
  ☆166Updated 6 years ago
• houssamzenati / Adversarially-Learned-Anomaly-Detection
  ALAD (Proceedings of IEEE ICDM 2018) official code
  ☆137Updated 6 years ago
• Lzeey / time-series-anomaly
  Anomaly detection on time series using Deep Learning techniques
  ☆29Updated 5 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…
  ☆126Updated 2 years ago
• titu1994 / LSTM-FCN-Ablation
  Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"
  ☆54Updated 6 years ago
• houssamzenati / Efficient-GAN-Anomaly-Detection
  ☆439Updated 4 years ago
• winstonll / COPOD
  Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"
  ☆59Updated 5 years ago
• danieltan07 / dagmm
  My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
  ☆416Updated 2 years ago
• hfawaz / bigdata18
  Transfer learning for time series classification
  ☆382Updated 6 years ago
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆201Updated 3 years ago
• iopsai / iops
  ☆38Updated 3 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
  ☆97Updated 6 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆141Updated 6 years ago
• haowen-xu / tfsnippet
  A set of utilities for writing and testing TensorFlow models
  ☆81Updated 2 years ago
• PramuPerera / DeepOneClass
  Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection…
  ☆194Updated 6 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆225Updated 4 years ago
• Maple728 / MTNet
  Tensorflow implementation of paper http://arxiv.org/abs/1809.02105
  ☆66Updated 5 years ago
• ZhiningLiu1998 / self-paced-ensemble
  [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
  ☆257Updated last year
• izikgo / AnomalyDetectionTransformations
  A simple and effective method for single-class classification of images
  ☆161Updated 3 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆74Updated 6 years ago
• Newcomer520 / tf-dagmm
  Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018
  ☆57Updated 7 years ago