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README.md
Generative Adversarial Networks (GANs)
- https://deepart.io/latest/
- https://medium.com/datadriveninvestor/the-infinite-art-machine-3a2decab85d9 (My DC Gan blog post)
- https://github.com/tomguluson92/StyleGAN_PyTorch
- https://magenta.tensorflow.org/gansynth
- https://towardsdatascience.com/cyclegans-to-create-computer-generated-art-161082601709
- https://deepdreamgenerator.com/
- https://www.thispersondoesnotexist.com/
- https://github.com/jantic/DeOldify
Links to codes I showed today
- https://github.com/SubhadityaMukherjee/animeFaceGenerator
- https://github.com/SubhadityaMukherjee/facegen
- https://github.com/SubhadityaMukherjee/deepDream
- https://github.com/SubhadityaMukherjee/neural_style_transfer
Where to learn GANs from
Look at the papers I mentioned. Links in the link below
- https://github.com/SubhadityaMukherjee/PaperImplementations (I have written notes about the stuff I explained today. WGAN, DCGAN, VAE etc)
- https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html
- https://www.tensorflow.org/tutorials/generative/dcgan
- https://towardsdatascience.com/demystifying-gans-in-tensorflow-2-0-9890834ab3d9
- https://github.com/hindupuravinash/the-gan-zoo
- https://hollobit.github.io/All-About-the-GAN/
Other Links
- Papers with code - https://paperswithcode.com/
- Experiments - https://experiments.withgoogle.com/
- Implementations - https://github.com/SubhadityaMukherjee/PaperImplementations
- Datasetsearch - https://datasetsearch.research.google.com
- Papers - https://github.com/terryum/awesome-deep-learning-papers#new-papers
- Ai blog - https://ai.googleblog.com/
Demo
- Image-to-Image Translation with Conditional Adversarial Nets
- Image-to-Image Demo Interactive Image Translation with pix2pix-tensorflow
Courses
Blogs
Compiled by
Subhaditya Mukherjee
- Email : msubhaditya@gmail.com
- Linkedin : https://www.linkedin.com/in/subhaditya-mukherjee-a36883100
- Github : www.github.com/SubhadityaMukherjee