Alternatives and similar repositories for safekit

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

• ymirsky / KitNET-py
  KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
  ☆244Updated last year
• leibinghe / GAAL-based-outlier-detection
  GAAL-based Outlier Detection
  ☆133Updated 2 years ago
• tnakae / DAGMM
  DAGMM Tensorflow implementation
  ☆180Updated 2 years ago
• pfmarteau / HIF
  Hybrid Isolation Forest
  ☆24Updated 7 years ago
• microsoft / anomalydetector
  SR-CNN
  ☆261Updated 2 years ago
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆200Updated 3 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…
  ☆865Updated last year
• siddiqmd / FeedbackIsolationForest
  ☆29Updated 7 years ago
• Stream-AD / MStream
  Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
  ☆121Updated last year
• NetManAIOps / donut
  WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
  ☆476Updated 6 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆73Updated 6 years ago
• wuyifan18 / DeepLog
  Pytorch Implementation of DeepLog.
  ☆407Updated last year
• zc8340311 / RobustAutoencoder
  A combination of Autoencoder and Robust PCA
  ☆189Updated last year
• rkmalaiya / network_anomaly_detection_deep_learning
  This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The res…
  ☆17Updated 6 years ago
• AFAgarap / gru-svm
  [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
  ☆168Updated 2 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆225Updated 3 years ago
• KDD-OpenSource / DeepADoTS
  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
  ☆594Updated 3 years ago
• ninghaohello / Contextual-Outlier-Interpreter
  ☆16Updated 5 years ago
• LiDan456 / MAD-GANs
  Applied generative adversarial networks (GANs) to do anomaly detection for time series data
  ☆567Updated 6 years ago
• jukworks / swat-seq2seq
  Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks
  ☆50Updated 6 years ago
• harik68 / RL4AD
  Reinforcement Learning for Anomaly Detection
  ☆45Updated 7 years ago
• lixiangwang / DAGMM-pytorch
  ☆74Updated 4 years ago
• LiDan456 / GAN-AD
  We used generative adversarial networks (GANs) to do anomaly detection for time series data.
  ☆150Updated 6 years ago
• y-bar / ml-based-anomaly-detection
  Spectral Residual
  ☆79Updated 2 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
  ☆96Updated 6 years ago
• chengqianghuang / exp-anomaly-detector
  The design of a time series anomaly detector through RNN and RL.
  ☆36Updated 8 years ago
• Jehuty4949 / NSL_KDD
  NSL-KDD Dataset
  ☆192Updated 10 years ago
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆183Updated 8 years ago
• PanpanZheng / OCAN
  ☆52Updated 5 years ago
• KDD-OpenSource / agots
  Anomaly Generator on Time Series
  ☆55Updated 5 years ago