Alternatives and similar repositories for HIF

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

• pnnl / safekit
  ☆144Updated 4 years ago
• yzhao062 / XGBOD
  Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
  ☆88Updated 6 years ago
• nachonavarro / seasonal-esd-anomaly-detection
  Anomaly detection algorithm implemented at Twitter
  ☆114Updated 2 years ago
• siddiqmd / FeedbackIsolationForest
  ☆29Updated 7 years ago
• datamllab / pyodds
  An End-to-end Outlier Detection System
  ☆256Updated 2 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
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆183Updated 8 years ago
• Marcnuth / AnomalyDetection
  Twitter's Anomaly Detection in Pure Python
  ☆319Updated 2 years ago
• chengqianghuang / exp-anomaly-detector
  The design of a time series anomaly detector through RNN and RL.
  ☆36Updated 8 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆225Updated 3 years ago
• yzhao062 / SUOD
  (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
  ☆391Updated 5 months ago
• abelusha / AutoEncoders-for-Anomaly-Detection
  ☆26Updated 7 years ago
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆200Updated 3 years ago
• PanpanZheng / OCAN
  ☆52Updated 5 years ago
• forecasts-and-nn / n-beats
  N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆23Updated 6 years ago
• IBM / xgboost-smote-detect-fraud
  Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…
  ☆63Updated 5 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆206Updated 5 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆73Updated 6 years ago
• mgckind / iso_forest
  Simple implementation of Isolation Forest
  ☆49Updated 4 years ago
• harik68 / RL4AD
  Reinforcement Learning for Anomaly Detection
  ☆45Updated 7 years ago
• blablahaha / concept-drift
  Algorithms for detecting changes from a data stream.
  ☆119Updated 6 years ago
• yzhao062 / DCSO
  Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"
  ☆19Updated 6 years ago
• dsmi-lab-ntust / AnomalyDetectionToolbox
  A collection of algorithms for anomaly detection
  ☆89Updated 9 years ago
• ymirsky / KitNET-py
  KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
  ☆244Updated last year
• iopsai / iops
  ☆38Updated 3 years ago
• winstonll / COPOD
  Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"
  ☆59Updated 5 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 7 years ago
• smirmik / CAD
  Contextual Anomaly Detector
  ☆78Updated 6 years ago
• GitiHubi / deepAD
  Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…
  ☆89Updated 6 years ago
• ninghaohello / Contextual-Outlier-Interpreter
  ☆16Updated 5 years ago