https://github.com/raffaeleterribile/gan-exercises

https://github.com/raffaeleterribile/gan-exercises

Last synced: 3 days ago
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• Host: GitHub
• URL: https://github.com/raffaeleterribile/gan-exercises
• Owner: raffaeleterribile
• Created: 2022-08-03T15:35:13.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-08-03T16:59:01.000Z (over 2 years ago)
• Last Synced: 2023-07-19T19:45:00.490Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 21.9 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Exercises on GAN

These notebook are based on this article: [Generative Adversarial Networks: Build Your FIrst Models - Real Python](https://realpython.com/generative-adversarial-networks/#the-architecture-of-generative-adversarial-networks).

In the article was suggested to use Pytorch 1.4.0, but I want to try with latest version of Pytorch (Pytorch 1.12.0) and latest CUDA drivers (CUDA 11.6).

# About the environment

The article suggested to configure environment with these commands:

> `conda create --name gan`

>

> `conda activate gan`

and to install these librraries:

> `conda install -c pytorch pytorch=1.4.0`

>

> `conda install matplotlib jupyter`

>

> `conda install -c pytorch torchvision=0.5.0`

and finally to register the new environment with Jupyter (to use Jupyter Notebboks with it) with this command:

> `python -m ipykernel install --user --name gan`

But I prefer to use actual latest version of Python and Pytorch and to installa additional libraries to experiment with other notebooks.

So I've created the environment with these commands:

> `conda create --name gan`

> 

> `conda activate gan`

>

> `conda install pip # To install packages not available with conda`

>

> `conda install matplotlib ipykernel`

>

> `conda install pytorch torchvision torchaudio cudatoolkit=11.6 -c pytorch -c conda-forge`