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

• [x] Chapter 3: Variational Autoencoders
• [x] Chapter 4: Generative Adversarial Networks

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

• [x] 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!