Factual package intelligence from PyPI

vae_anomaly_detection 2.0.1 package intelligence

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"

pip install vae-anomaly-detection

Current version
2.0.1
Python requirement
<3.12,>3.6
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
18.5 KiB
Release history
4 releases with files
Median release cadence
163 days

vae_anomaly_detection dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.18
  2. path >=15.0
  3. pytorch-lightning >=1.9
  4. pyyaml >=5.0
  5. tensorboard >=0.20
  6. torch >=1.8
  7. tqdm >=4.0

Compatibility and release files

vae_anomaly_detection publishes 1 wheel and 1 source archive for version 2.0.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 4 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 .