Alternatives and similar repositories for Anomaly-Detection:

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

• 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…
  ☆122Updated 7 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆112Updated 7 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
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆177Updated 7 years ago
• kskk02 / Fraud_Detector
  Fraud Detection using ensemble of Statistical, Network analysis and Machine learning approach.
  ☆68Updated 10 years ago
• jayinai / kaggle-sequence
  A compiled list of kaggle competitions and their winning solutions for sequence problems.
  ☆35Updated 8 years ago
• Apress / beginning-anomaly-detection-using-python-based-dl
  Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari
  ☆84Updated 5 years ago
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆346Updated 9 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆106Updated 5 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 5 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
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆86Updated 6 years ago
• bensadeghi / pyspark-churn-prediction
  Churn Prediction with PySpark using MLlib and ML Packages
  ☆56Updated 9 years ago
• chen0040 / keras-anomaly-detection
  Anomaly detection implemented in Keras
  ☆376Updated 7 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 9 years ago
• codyrioux / pydata2015seattle
  Tutorial materials for PyData 2015 Seattle.
  ☆34Updated 9 years ago
• NervanaSystems / aidc-2018-timeseries
  Deep learning for time-series data
  ☆49Updated 2 years ago
• analyticalmonk / KMeans_elbow
  Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
  ☆42Updated 2 months ago
• PacktPublishing / Large-Scale-Machine-Learning-With-Python
  Code repository for Large Scale Machine Learning with Python, published by Packt
  ☆90Updated 2 years ago
• nachonavarro / seasonal-esd-anomaly-detection
  Anomaly detection algorithm implemented at Twitter
  ☆112Updated last year
• elena-sharova / IsolationForest
  testing scikit-learn Isolation Forest
  ☆76Updated 7 years ago
• indeedeng / anomaly-detection
  ☆61Updated 9 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• hanhanwu / Hanhan_Data_Science_Resources
  helpful resources for (big) data science
  ☆33Updated 3 years ago
• Apress / advanced-data-analytics-using-python
  Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay
  ☆68Updated 6 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 7 years ago
• gabrielspmoreira / static_resources
  ☆77Updated 8 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• elena-sharova / HiddenMarkovModel
  Example implementation of a discrete 1st order Hidden Markov model with test
  ☆35Updated 8 years ago