DragGAN
neural_networks
| DragGAN | neural_networks | |
|---|---|---|
| 1 | 1 | |
| 89 | - | |
| - | - | |
| 7.1 | - | |
| 12 months ago | - | |
| Python | ||
| MIT License | - |
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DragGAN
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First look at DragGAN - the generative net that allows the user to drag a particular part of an image and shift it to the target place. Try it yourself: https://github.com/.../neural_networks/GAN/draggan.ipynb
Not sure if it's the same one OP used, but looks similar, here's working link: https://github.com/adriaciurana/DragGAN https://colab.research.google.com/github/adriaciurana/DragGAN/blob/master/colab_notebook.ipynb
neural_networks
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First look at DragGAN - the generative net that allows the user to drag a particular part of an image and shift it to the target place. Try it yourself: https://github.com/.../neural_networks/GAN/draggan.ipynb
Link to it: https://github.com/.../neural_networks/GAN/draggan.ipynb
What are some alternatives?
DragGAN - Official Code for DragGAN (SIGGRAPH 2023)
News-Sense - A Streamlit app based on Python that fetches top news articles from the News API, generates a summary of each article using the OpenAI GPT-3 model, analyzes the sentiment of the article using the NLTK library, and classifies the article into different categories based on keywords.
neuro-symbolic-sudoku-solver - ⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
BMSG-GAN - [MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation