Alternatives and similar repositories for Anomaly-Detection:

Users that are interested in Anomaly-Detection are comparing it to the libraries listed below

• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆175Updated 7 years ago
• Vicam / Unsupervised_Anomaly_Detection
  A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the differ…
  ☆121Updated 7 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆223Updated 3 years ago
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆108Updated 5 years ago
• nachonavarro / seasonal-esd-anomaly-detection
  Anomaly detection algorithm implemented at Twitter
  ☆112Updated last year
• Marcnuth / AnomalyDetection
  Twitter's Anomaly Detection in Pure Python
  ☆311Updated last year
• chen0040 / keras-anomaly-detection
  Anomaly detection implemented in Keras
  ☆374Updated 6 years ago
• Lzeey / time-series-anomaly
  Anomaly detection on time series using Deep Learning techniques
  ☆28Updated 5 years ago
• Azure / lstms_for_predictive_maintenance
  LSTMS for Predictive Maintenance
  ☆327Updated 7 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• HamishWoodrow / anomaly_detection
  This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average wit…
  ☆63Updated 6 years ago
• indeedeng / anomaly-detection
  ☆61Updated 8 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆86Updated 6 years ago
• vc1492a / PyNomaly
  Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in t…
  ☆321Updated last month
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 7 years ago
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆192Updated 2 years ago
• mrahtz / sanger-machine-learning-workshop
  Code for machine learning workshop given to Sanger Systems group
  ☆39Updated 9 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 7 years ago
• elena-sharova / IsolationForest
  testing scikit-learn Isolation Forest
  ☆76Updated 6 years ago
• aqibsaeed / Tensorflow-ML
  Different machine learning algorithms implementation in Tensorflow
  ☆27Updated 8 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 5 years ago
• Meena-Mani / SECOM_class_imbalance
  Approaches for the class imbalance problem (in semicondutor manufacturing process line data)
  ☆22Updated 4 years ago
• alteryx / predict-remaining-useful-life
  Predict remaining useful life of a component based on historical sensor observations using automated feature engineering
  ☆232Updated last year
• ruipgil / changepy
  Time series changepoint detection
  ☆103Updated last year
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆344Updated 8 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆113Updated 7 years ago
• hamaadshah / autoencoders_tensorflow
  Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
  ☆72Updated last year
• codyrioux / pydata2015seattle
  Tutorial materials for PyData 2015 Seattle.
  ☆34Updated 9 years ago