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README

Variational Autoencoder in TensorFlow

This folder contains the code and instructions accompanying the blog post Variational Autoencoder in Tensorflow

Package Dependencies

This repository trains the Variational Autoencoder in Tensorflow framework on Fashion-MNIST and Cartoon dataset. The cartoon dataset can be download from here.

The code is tested with:

  • Cuda-11.1
  • Cudnn-8.0

The Tensorflow notebook requires numpy, tf-nightly-gpu, opencv, sklearn. To get the versions of these packages you need for the program, use pip: (Make sure pip is upgraded: python3 -m pip install -U pip)

pip3 install -r requirements.txt 

Add Virtualenv as Python Kernel in Jupyterlab

  • Activate the virtualenv
$ source your-venv/bin/activate
  • Add the virtualenv as a jupyter kernel
(your-venv)$ ipython kernel install --name "local-venv" --user

Replace local-venv with your virtualenv name.

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