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# Generative Adversarial Networks (GANs)
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- https://deepart.io/latest/
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- https://medium.com/datadriveninvestor/the-infinite-art-machine-3a2decab85d9 (My DC Gan blog post)
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- https://github.com/tomguluson92/StyleGAN_PyTorch
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- https://magenta.tensorflow.org/gansynth
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- https://towardsdatascience.com/cyclegans-to-create-computer-generated-art-161082601709
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- https://deepdreamgenerator.com/
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- https://www.thispersondoesnotexist.com/
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- https://github.com/jantic/DeOldify
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# Links to codes I showed today
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- https://github.com/SubhadityaMukherjee/animeFaceGenerator
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- https://github.com/SubhadityaMukherjee/facegen
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- https://github.com/SubhadityaMukherjee/deepDream
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- https://github.com/SubhadityaMukherjee/neural_style_transfer
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# Where to learn GANs from
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Look at the papers I mentioned. Links in the link below
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- https://github.com/SubhadityaMukherjee/PaperImplementations (I have written notes about the stuff I explained today. WGAN, DCGAN, VAE etc)
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- https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html
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- https://www.tensorflow.org/tutorials/generative/dcgan
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- https://towardsdatascience.com/demystifying-gans-in-tensorflow-2-0-9890834ab3d9
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- https://github.com/hindupuravinash/the-gan-zoo
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- https://hollobit.github.io/All-About-the-GAN/
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# Other Links
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- Papers with code - https://paperswithcode.com/
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- Experiments - https://experiments.withgoogle.com/
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- Implementations - https://github.com/SubhadityaMukherjee/PaperImplementations
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- Datasetsearch - https://datasetsearch.research.google.com
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- Papers - https://github.com/terryum/awesome-deep-learning-papers#new-papers
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- Ai blog - https://ai.googleblog.com/
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# Courses
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- [A to Z ML/DL](https://www.udemy.com/course/machinelearning/)
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- [Udemy Deep Learning](https://www.udemy.com/course/deeplearning/)
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- [deeplearning.ai](https://www.deeplearning.ai/)
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- [Fastai](https://course.fast.ai/)
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# Blogs
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- [OpenAI](https://www.openai.com/)
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- [Distill](http://distill.pub/)
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- [Andrej Karpathy Blog](http://karpathy.github.io/)
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- [Colah's Blog](http://colah.github.io/)
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- [WildML](http://www.wildml.com/)
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- [FastML](http://www.fastml.com/)
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- [TheMorningPaper](https://blog.acolyer.org/)
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### Compiled by
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**Subhaditya Mukherjee**
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- Email : msubhaditya@gmail.com
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- Linkedin : https://www.linkedin.com/in/subhaditya-mukherjee-a36883100
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- Github : www.github.com/SubhadityaMukherjee
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