GANumpy
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Published
20 hours ago •
3outeille
3outeille
A Numpy implementation of a Generative Adversarial Network.
Introduction
- GANumpy is a Generative Adversarial Network written in pure Numpy (educational purpose only).
- It uses Yaae, my custom automatic differentiation engine also written in pure Numpy.
- The GAN was trained on MNIST dataset. To speed up the training time, only a subset of digit samples (1,2,3) were used. Here are the results:
Installation
- Create a virtual environment in the root folder using virtualenv and activate it.
# On Linux terminal, using virtualenv.
virtualenv my_ganumpy_env
# Activate it.
source my_ganumpy_env/bin/activate
- Install requirements.txt.
pip install -r requirements.txt
# Tidy up the root folder.
python3 setup.py clean
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