-
Updated
Sep 23, 2020 - Jupyter Notebook
pytorch-implmention
Here are 170 public repositories matching this topic...
-
Updated
Aug 20, 2020 - Python
-
Updated
Jun 1, 2020 - Jupyter Notebook
-
Updated
Nov 17, 2019 - Python
-
Updated
Sep 3, 2020 - Python
-
Updated
Jun 15, 2020 - Python
-
Updated
Jul 31, 2020 - Python
-
Updated
Jun 28, 2020 - Python
-
Updated
Jul 29, 2019 - Python
-
Updated
Jul 11, 2020 - Python
-
Updated
Jul 16, 2020 - Python
-
Updated
Jul 8, 2019 - Python
-
Updated
Jul 21, 2020 - Jupyter Notebook
-
Updated
Aug 26, 2020 - Jupyter Notebook
-
Updated
Oct 13, 2020 - Python
-
Updated
Dec 23, 2018 - Python
-
Updated
Apr 12, 2019 - Python
-
Updated
Feb 3, 2019 - Python
At the outset, this is a great implementation of StyleGAN in PyTorch. I really like the way the modules are structured.
This is more of a suggestion from my side:
Seems like you are not sanitizing your gradients in the code. Please check this from the official StyleGAN implementation.
I am currently
-
Updated
Jul 26, 2019 - Python
-
Updated
Jan 20, 2019 - Jupyter Notebook
-
Updated
Jun 28, 2019 - Python
-
Updated
Oct 18, 2017 - Python
-
Updated
Apr 18, 2019 - Python
-
Updated
Feb 13, 2020 - Jupyter Notebook
-
Updated
Apr 1, 2019 - Python
-
Updated
Sep 13, 2018 - Python
-
Updated
Jun 8, 2018 - Jupyter Notebook
Improve this page
Add a description, image, and links to the pytorch-implmention topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the pytorch-implmention topic, visit your repo's landing page and select "manage topics."
Need help for retraining and cross validation and see if the ROUGE score matches exactly (or better) with the numbers reported in the paper.
I just train for 500k iteration (with batch size 8) with pointer generation enabled + coverage loss disabled and next 100k iteration (with batch size 8) with pointer generation enabled + coverage loss enabled.
It would be great if someone can help re-r