Metadata-Version: 2.1
Name: vae_anomaly_detection
Version: 2.0.0
Summary: Pytorch/TF1 implementation of Variational AutoEncoder for anomaly detection following the paper "Variational Autoencoder based Anomaly Detection using Reconstruction Probability by Jinwon An, Sungzoon Cho"
Author-email: Michele De Vita <mik3dev@gmail.com>
License: MIT
Project-URL: homepage, https://github.com/Michedev/VAE_anomaly_detection
Project-URL: repository, https://github.com/Michedev/VAE_anomaly_detection
Keywords: vae,anomaly detection,deep learning,pytorch
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: <3.11,>=3.6.2
Description-Content-Type: text/markdown
Provides-Extra: dev
