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Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

Python 4.84% Jupyter Notebook 95.16%
anomaly-detection anomalydetection autoencoder deep-learning jupyter jupyter-notebook petastorm pyspark pytorch pytorch-implementation pytorch-lightning vae vae-pytorch

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gee's Issues

How decompress the smaple files

Dear

Thank you for your effort !

I've some problems. I downloaded some processed data on the site.

but these files have to decompress or unpack or ???/ to parquet file....

I don't know how to change or unpack the files ..... please help me.

model_input/train.model_input.parquet
model_input/test.model_input.parquet

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