Alternatives and similar repositories for anomaly-detection

Users that are interested in anomaly-detection are comparing it to the libraries listed below

• lnferreira / time_series_clustering_via_community_detection
  Code used in the paper "Time Series Clustering via Community Detection in Networks"
  ☆37Updated 5 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆12Updated 5 years ago
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆35Updated 7 years ago
• RifleZhang / CORD_CPD
  Correlation-aware Change-point Detection via Graph Neural Networks
  ☆16Updated 4 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 7 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• kokikwbt / MLDS
  Python implementation of multilinear dynamical systems for tensor time series (NIPS'13)
  ☆12Updated 3 years ago
• sbonner0 / temporal-neighbourhood-aggregation
  Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variation…
  ☆8Updated 4 years ago
• Regressionist / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 6 years ago
• tomonori-masui / time-series-forecasting
  Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet
  ☆24Updated 5 months ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 7 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 2 years ago
• Koldh / LearnableGroupTransform-TimeSeries
  ☆8Updated 4 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆28Updated 7 years ago
• alasdairtran / radflow
  [TheWebConf 2021] Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
  ☆33Updated 2 years ago
• rdemedrano / crann_traffic
  A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction
  ☆16Updated 4 years ago
• Rohithram / Self-Organizing-Maps-using-KNN
  High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neu…
  ☆11Updated 6 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆48Updated 3 years ago
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 7 years ago
• nla-group / ABBA-LSTM
  ☆15Updated 2 years ago
• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 6 years ago
• ferencberes / online-centrality
  Temporal Walk Based Centrality Metric for Graph Streams
  ☆14Updated 2 years ago
• ritesh99rakesh / pyMIDAS
  Python implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
  ☆38Updated 2 years ago
• snap-stanford / masa
  Motif-Aware State Assignment in Noisy Time Series Data
  ☆23Updated 4 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• bgokden / anomaly-detection-with-autoencoders
  Anamoly Detection with Autoencoders - Credit Card Fraud Case
  ☆16Updated 4 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 8 years ago
• IntelLabs / TSAD-Evaluator
  Intel Labs open source repository for time series anomaly detection evaluator
  ☆42Updated 5 months ago
• lovvge / Forecasting-Tutorials
  ☆23Updated 3 years ago