https://github.com/thomd/coursera-build-basic-generative-adversarial-networks

Notes on Coursera Course "Build Basic Generative Adversarial Networks"
https://github.com/thomd/coursera-build-basic-generative-adversarial-networks

coursera deep-learning gan pytorch

Last synced: 29 days ago
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Notes on Coursera Course "Build Basic Generative Adversarial Networks"

• Host: GitHub
• URL: https://github.com/thomd/coursera-build-basic-generative-adversarial-networks
• Owner: thomd
• Created: 2022-02-14T15:06:49.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-01-15T15:11:01.000Z (over 2 years ago)
• Last Synced: 2025-02-05T21:43:01.504Z (3 months ago)
• Topics: coursera, deep-learning, gan, pytorch
• Language: Jupyter Notebook
• Homepage:
• Size: 12.7 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Build Basic Generative Adversarial Networks (GANs)

Notes from Coursera Course [Build Basic Generative Adversarial Networks (GANs)](https://www.coursera.org/learn/build-basic-generative-adversarial-networks-gans)

* [Probability Distributions](https://nbviewer.jupyter.org/github/thomd/coursera-build-basic-generative-adversarial-networks/blob/main/probability-distributions.ipynb)

## Setup

    python -m venv .venv

    source .venv/bin/activate

    pip install jupyterlab ipywidgets

    pip install torch torchvision

    pip install matplotlib

    pip install tqdm

## Week 1: Intro to GANs

* [Generative Models](https://nbviewer.jupyter.org/github/thomd/coursera-build-basic-generative-adversarial-networks/blob/main/generative-models.ipynb)

* [MNIST GAN in PyTorch](https://nbviewer.jupyter.org/github/thomd/coursera-build-basic-generative-adversarial-networks/blob/main/mnist-gan-pytorch.ipynb) → [Open in Google Colab](https://colab.research.google.com/github/thomd/coursera-build-basic-generative-adversarial-networks/blob/main/mnist-gan-pytorch.ipynb)

## Week 2: Deep Convolutional GANs

* [DCGANs](https://nbviewer.jupyter.org/github/thomd/coursera-build-basic-generative-adversarial-networks/blob/main/deep-convolutional-gans.ipynb)

## Week 3: Wasserstein GANs with Gradient Penalty