https://github.com/vanditg/paper-implementation-deep-learning

This repository contains the implementation of different papers relating to Computer Vision and Deep Learning fields.
https://github.com/vanditg/paper-implementation-deep-learning

computer-vision deep-learning generative-adversarial-network google-colaboratory jupyter-notebooks python pytorch pytorch-implementation

Last synced: about 2 months ago
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This repository contains the implementation of different papers relating to Computer Vision and Deep Learning fields.

• Host: GitHub
• URL: https://github.com/vanditg/paper-implementation-deep-learning
• Owner: Vanditg
• Created: 2020-08-31T08:30:41.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-08-31T08:49:30.000Z (over 4 years ago)
• Last Synced: 2024-11-05T11:10:03.591Z (3 months ago)
• Topics: computer-vision, deep-learning, generative-adversarial-network, google-colaboratory, jupyter-notebooks, python, pytorch, pytorch-implementation
• Language: Jupyter Notebook
• Homepage:
• Size: 487 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Paper-Implementation-Deep-Learning

This repository contains the implementation of different papers relating to Computer Vision and Deep Learning fields.  

# Paper and Python Files  

Goodfellow et al. 2015 - Vanilla GAN > [Access Here](https://github.com/Vanditg/Paper-Implementation-Deep-Learning/blob/master/GAN/Vanilla_GAN/5423-generative-adversarial-nets.pdf) <<<--->>> [Python file](https://github.com/Vanditg/Paper-Implementation-Deep-Learning/blob/master/GAN/Vanilla_GAN/GAN_CIFAR10_RGB.py)  

# Jupyter Notebook Files  

Goodfellow et al. 2015 - Vanilla GAN > [Access Here](https://github.com/Vanditg/Paper-Implementation-Deep-Learning/blob/master/GAN/Vanilla_GAN/5423-generative-adversarial-nets.pdf) <<<--->>> [Jupyter Notebook file](https://github.com/Vanditg/Paper-Implementation-Deep-Learning/blob/master/GAN/Vanilla_GAN/CIFAR_10_GAN_RGB.ipynb)    

# Google Colab Repositories  

Goodfellow et al. 2015 - Vanilla GAN > [Access Here](https://github.com/Vanditg/Paper-Implementation-Deep-Learning/blob/master/GAN/Vanilla_GAN/5423-generative-adversarial-nets.pdf) <<<--->>> [Colab Repository](https://colab.research.google.com/drive/1IGM9HhMvbSkqMLG_t7g5Xy82k2HwQauE?usp=sharing)