pyoungkangkim / Generative-Deep-Learning-Code-in-Pytorch

The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch

Generative Deep Learning in Pytorch

Teaching Machines to paint, write, compose and play

The official code repository for examples in the O'Reilly book 'Generative Deep Learning' in Pytorch https://learning.oreilly.com/library/view/generative-deep-learning/9781492041931/ https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947/ref=sr_1_1

Book Contents, covered in Pytorch

Part 1: Introduction to Generative Deep Learning

• Chapter 3: Variational Autoencoders
• Chapter 4: Generative Adversarial Networks

Part 2: Teaching Machines to Paint, Write, Compose and Play

• Chapter 5: Paint
• Chapter 6: Write
• Chapter 7: Compose
• Chapter 8: Play
• Chapter 9: The Future of Generative Modeling
• Chapter 10: Conclusion

Additional pieces I added for you

Part 1: Introduction to Generative Deep Learning

• 04_01_gan_camel_analysis.ipynb
• 04_02_wgan_camel_train.ipynb
• 04_02_wgan_camel_analysis.ipynb
• 04_02_wgan_cifar_analysis.ipynb
• 04_03_wgangp_cifar_train_and_analysis.ipynb
• 05_02_neural_style_transfer_and_analysis.ipynb

requirements.txt

I will update the requirements.txt after I finish all the examples. For now, just run pip install or conda install on dependencies you need!