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Framework for self-supervised training of reconstruction-based autoencoder models for anomaly detection.
pip install ssad
PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<3.0,>=2.8<3.0,>=1.26<3.0,>=2.2<2.0,>=1.15<2.0,>=1.9<3.0,>=2.10<3.0,>=2.5<4.0,>=3.12<8.0,>=7.0<14.0,>=13.610ssad publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .