Alternatives and similar repositories for safekit:

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

• tnakae / DAGMM
  DAGMM Tensorflow implementation
  ☆173Updated last year
• leibinghe / GAAL-based-outlier-detection
  GAAL-based Outlier Detection
  ☆132Updated 2 years ago
• ymirsky / KitNET-py
  KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
  ☆236Updated last year
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆72Updated 5 years ago
• pfmarteau / HIF
  Hybrid Isolation Forest
  ☆24Updated 6 years ago
• ninghaohello / Contextual-Outlier-Interpreter
  ☆16Updated 5 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
• jukworks / swat-seq2seq
  Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks
  ☆47Updated 5 years ago
• LiDan456 / GAN-AD
  We used generative adversarial networks (GANs) to do anomaly detection for time series data.
  ☆148Updated 6 years ago
• zc8340311 / RobustAutoencoder
  A combination of Autoencoder and Robust PCA
  ☆186Updated 9 months ago
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆197Updated 2 years ago
• NetManAIOps / KPI-Anomaly-Detection
  2018AIOps: The 1st match for AIOps
  ☆85Updated 2 years ago
• 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
• eBay / RANSynCoders
  ☆89Updated last year
• LiDan456 / MAD-GANs
  Applied generative adversarial networks (GANs) to do anomaly detection for time series data
  ☆542Updated 5 years ago
• wzwtrevor / Multi-Scale-One-Class-Recurrent-Neural-Networks
  Code for KDD 2021 paper "Multi-Scale One-Class Recurrent Neural Networks \\for Discrete Event Sequence Anomaly Detection"
  ☆18Updated 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 …
  ☆151Updated 3 years ago
• NetManAIOps / donut
  WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
  ☆468Updated 6 years ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆120Updated 6 years ago
• harik68 / RL4AD
  Reinforcement Learning for Anomaly Detection
  ☆44Updated 7 years ago
• KDD-OpenSource / DeepADoTS
  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
  ☆580Updated 2 years ago
• danieltan07 / dagmm
  My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
  ☆407Updated 2 years ago
• PanpanZheng / OCAN
  ☆52Updated 4 years ago
• chengqianghuang / exp-anomaly-detector
  The design of a time series anomaly detector through RNN and RL.
  ☆35Updated 7 years ago
• Mason0629 / RobustLog
  Robust Log-Based Anomaly Detection on Unstable Log Data
  ☆19Updated 5 years ago
• lixiangwang / DAGMM-pytorch
  ☆71Updated 4 years ago
• 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
• Albertsr / Anomaly-Detection
  UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
  ☆295Updated 4 years ago
• shubhomoydas / ad_examples
  A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discov…
  ☆855Updated 10 months ago
• chengqianghuang / exp-anomaly-detector-AIOps
  Using DNN for univariate time series anomaly detection over AIOps Competition dataset
  ☆44Updated 6 years ago