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Overview

  • Getting Started
  • Algorithm Overview
  • Saving and Loading
  • Detector Configuration Files
  • Roadmap

Outlier Detection

  • Methods
  • Examples
    • AE outlier detection on CIFAR10
    • AEGMM and VAEGMM outlier detection on KDD Cup ‘99 dataset
    • Isolation Forest outlier detection on KDD Cup ‘99 dataset
    • Likelihood Ratio Outlier Detection on Genomic Sequences
    • Likelihood Ratio Outlier Detection with PixelCNN++
    • Mahalanobis outlier detection on KDD Cup ‘99 dataset
    • Time-series outlier detection using Prophet on weather data
    • Seq2Seq time series outlier detection on ECG data
    • Time series outlier detection with Seq2Seq models on synthetic data
    • Time series outlier detection with Spectral Residuals on synthetic data
    • VAE outlier detection for income prediction
    • VAE outlier detection on CIFAR10
    • VAE outlier detection on KDD Cup ‘99 dataset

Drift Detection

  • Background
  • Methods
  • Examples

Adversarial Detection

  • Methods
  • Examples

Deployment

  • Outlier, adversarial and drift detection on CIFAR10

Datasets

  • Overview

Models

  • Overview

API reference

  • API reference

Bibliography

  • Bibliography
alibi-detect
  • Examples
  • Edit on GitHub

Examples

  • AE outlier detection on CIFAR10
  • AEGMM and VAEGMM outlier detection on KDD Cup ‘99 dataset
  • Isolation Forest outlier detection on KDD Cup ‘99 dataset
  • Likelihood Ratio Outlier Detection on Genomic Sequences
  • Likelihood Ratio Outlier Detection with PixelCNN++
  • Mahalanobis outlier detection on KDD Cup ‘99 dataset
  • Time-series outlier detection using Prophet on weather data
  • Seq2Seq time series outlier detection on ECG data
  • Time series outlier detection with Seq2Seq models on synthetic data
  • Time series outlier detection with Spectral Residuals on synthetic data
  • VAE outlier detection for income prediction
  • VAE outlier detection on CIFAR10
  • VAE outlier detection on KDD Cup ‘99 dataset
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