Cyclegan_forest_abstract_art_duke_zm
This is the code corresponding to my Duke AI for Art Competition submission.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Gans In Action | 929 | a year ago | 15 | Jupyter Notebook | ||||||
| Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks | ||||||||||
| Pytorch Cyclegan | 371 | 5 years ago | 21 | gpl-3.0 | Python | |||||
| A clean and readable Pytorch implementation of CycleGAN | ||||||||||
| Histogan | 50 | 3 years ago | gpl-3.0 | Python | ||||||
| Code for "Generative Image Translation for Data Augmentation in Colorectal Histopathology Images" full paper at ML4H Workshop at NeurIPS 2019. | ||||||||||
| Cyclegan_forest_abstract_art_duke_zm | 43 | 5 years ago | Jupyter Notebook | |||||||
| This is the code corresponding to my Duke AI for Art Competition submission. | ||||||||||
| Cyclegan With Self Attention | 8 | 2 years ago | 1 | Python | ||||||
| In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different complex tasks. Here the same principle Neural Network architecture has been used to solve the three different task. Although truth be told, my model has not exceeded any state of the art performances for the given task, but the architecture was powerful enough to understand the task that has been given to solve and produce considerably good results. | ||||||||||
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Jupyter Notebook
Artificial Intelligence
Cyclegan