In this repo, I will be working on developing GANs and Autoencoders models in Pytorch form Research Papers
- SimpleGAN
- DCGAN
- StyleGAN
- DragGAN
- Pix2Pix
- FactorVAE
- Total Correlation Autoencoders
- https://colab.research.google.com/github/https-deeplearning-ai/GANs-Public/blob/master/ProteinGAN.ipynb
- https://colab.research.google.com/github/https-deeplearning-ai/GANs-Public/blob/master/C1W2_Video_Generation_(Optional).ipynb
- https://lilianweng.github.io/posts/2017-08-20-gan/
- https://distill.pub/2016/deconv-checkerboard/
- https://arxiv.org/pdf/1511.06434.pdf
- https://arxiv.org/pdf/1411.1784.pdf
- https://arxiv.org/pdf/1907.10786.pdf
- https://arxiv.org/pdf/1801.01973.pdf
- https://arxiv.org/pdf/1904.01121.pdf
- https://arxiv.org/pdf/1904.06991.pdf
- https://jonathan-hui.medium.com/gan-how-to-measure-gan-performance-64b988c47732
- https://colab.research.google.com/github/https-deeplearning-ai/GANs-Public/blob/master/C2W2_(Optional_Notebook)_Score_Based_Generative_Modeling.ipynb
- https://arxiv.org/pdf/1907.05600.pdf
- https://arxiv.org/pdf/2006.09011.pdf
- https://colab.research.google.com/github/https-deeplearning-ai/GANs-Public/blob/master/C2W2_GAN_Debiasing_(Optional).ipynb