Alternatives and similar repositories for HIF

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

• pnnl / safekit
  ☆147Updated 5 years ago
• datamllab / pyodds
  An End-to-end Outlier Detection System
  ☆257Updated 2 years ago
• yzhao062 / XGBOD
  Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
  ☆89Updated 6 years ago
• nachonavarro / seasonal-esd-anomaly-detection
  Anomaly detection algorithm implemented at Twitter
  ☆114Updated 2 years ago
• mgckind / iso_forest
  Simple implementation of Isolation Forest
  ☆49Updated 4 years ago
• abelusha / AutoEncoders-for-Anomaly-Detection
  ☆26Updated 7 years ago
• yzhao062 / SUOD
  (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
  ☆391Updated 8 months ago
• siddiqmd / FeedbackIsolationForest
  ☆29Updated 7 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆205Updated 5 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…
  ☆866Updated last year
• leibinghe / GAAL-based-outlier-detection
  GAAL-based Outlier Detection
  ☆134Updated 3 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆226Updated 4 years ago
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆184Updated 8 years ago
• Marcnuth / AnomalyDetection
  Twitter's Anomaly Detection in Pure Python
  ☆323Updated 2 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆75Updated 6 years ago
• yzhao062 / DCSO
  Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"
  ☆19Updated 6 years ago
• ninghaohello / Contextual-Outlier-Interpreter
  ☆16Updated 6 years ago
• cmuxstream / cmuxstream-core
  Static (Python) and streaming (C++) implementations of xStream (KDD 2018).
  ☆31Updated 7 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…
  ☆65Updated 5 years ago
• dkaslovsky / Coupled-Biased-Random-Walks
  Outlier detection for categorical data
  ☆29Updated 6 months ago
• ritesh99rakesh / pyMIDAS
  Python implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
  ☆38Updated 3 years ago
• microsoft / anomalydetector
  SR-CNN
  ☆264Updated 3 years ago
• tnakae / DAGMM
  DAGMM Tensorflow implementation
  ☆180Updated 2 years ago
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆203Updated 3 years ago
• winstonll / COPOD
  Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"
  ☆59Updated 5 years ago
• doubleplusplus / incremental_decision_tree-CART-Random_Forest
  incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining …
  ☆104Updated 5 years ago
• yzhao062 / MetaOD
  Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)
  ☆186Updated 3 years ago
• nicococo / tilitools
  [ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output predict…
  ☆44Updated 7 years ago
• iopsai / iops
  ☆38Updated 3 years ago
• dsmi-lab-ntust / AnomalyDetectionToolbox
  A collection of algorithms for anomaly detection
  ☆89Updated 9 years ago