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Author:
DaSCI, KDIS Lab, SCI2S
Summary:
DANTIS brings together **90+ anomaly detection algorithms** (from classical statistical methods and machine learning to deep learning) under a **unified scikit-learn–style API**. It consolidates models from diverse libraries and includes proprietary algorithms developed by our team.
Latest version:
0.0.1
Required dependencies:
combo
|
fuzzy-c-means
|
numpy
|
pomegranate
|
pyod
|
pywavelets
|
river
|
saxpy
|
statsmodels
|
stumpy
|
suod
|
tensorflow
|
torch
|
xgboost
Optional dependencies:
arff
|
pyqt5
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