Alternatives and similar repositories for LOF_OCSVM:

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

• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆223Updated 3 years ago
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆176Updated 7 years ago
• HaishuaiWang / Semi-Supervised-Shapelets-Learning
  Matlab codes for Semi-Supervised Shapelets Learning
  ☆17Updated 8 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 7 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…
  ☆123Updated 2 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 4 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
  ☆94Updated 6 years ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆120Updated 5 years ago
• aditya1709 / DTW_kmedoids
  Multivariate time series clustering using Dynamic Time Warping (DTW) and k-mediods algorithm
  ☆37Updated 7 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆139Updated 5 years ago
• min-gyu-kang / Anomaly_Detection
  MD,LSTM-AE,VAE-MAD-GAN
  ☆30Updated 3 years ago
• HongminWu / time_series_anomaly_detection_classification_clustering
  the state-of-the-art repo for time_series_anomaly_detection_classification_clustering
  ☆15Updated 6 years ago
• LZhengyu / MSCRED
  Implementation of paper:A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
  ☆25Updated 4 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 5 years ago
• acba / elm
  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
  ☆92Updated 3 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆71Updated 5 years ago
• wantinghuang / SKlearn-kmeans-DTW-clustering-user-grouping
  Group users by temporal power consumption using k-means algorithm with adjusted measurement of distance, dynamic time warping(DTW)
  ☆24Updated 6 years ago
• haitaozhao / Neural-Component-Analysis
  This repository is mainly to show the source code of neural component analysis.
  ☆22Updated 6 years ago
• zhangxu0307 / stack-autoencoder
  This is stack autoencoder (SAE) implemented by Pytorch
  ☆25Updated 6 years ago
• chickenbestlover / Online-Recurrent-Extreme-Learning-Machine
  Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
  ☆154Updated 5 years ago
• jonzia / Recurrent_Autoencoder
  Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
  ☆29Updated 3 years ago
• tnakae / DAGMM
  DAGMM Tensorflow implementation
  ☆172Updated last year
• damjankuznar / pylof
  Python implementation of Local Outlier Factor algorithm.
  ☆157Updated 8 years ago
• soloice / SVM-python
  Implemented SVM in Python. In particular, the SMO algorithm is implemented.
  ☆45Updated 7 years ago
• y-bar / ml-based-anomaly-detection
  Spectral Residual
  ☆79Updated 2 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆76Updated 5 years ago
• matrachma / Deep-Belief-Network-for-Regression
  DBN for Regression Problem using Theano, NumPy, and Scikit-learn
  ☆24Updated 8 years ago
• jay15summer / Two-stage-TrAdaboost.R2
  ☆44Updated 6 years ago
• TimyadNyda / Variational-Lstm-Autoencoder
  Lstm variational auto-encoder for time series anomaly detection and features extraction
  ☆318Updated 4 years ago
• wxdang / MSCRED
  tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
  ☆62Updated 5 years ago