These projects are learning playground for me, implementing research paper are challenging. I see them as a way to prepare myself for the next level and help in the process of continuous development. I would be making the learning and code for these networks available public very soon.
End-to-End memory network Implementation in Tensorflow
Implementation of End-to-End memory network - Sukhbaatar, S., Weston, J., & Fergus, R. (2015). End-to-end memory networks. In Advances in neural information processing systems (pp. 2440-2448).
Deep Convolution Generative Adversarial Networks
Implementation of Unsupervised representation learning with deep convolutional generative adversarial networks - Radford, A., Metz, L., & Chintala, S. (2015). Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434.
U-Net: Convolutional Networks
Implementation of U-Net: Convolutional Networks - Ronneberger, O., Fischer, P., & Brox, T. (2015, October). U-net: Convolutional networks for biomedical image segmentation. In International Conference on Medical image computing and computer-assisted intervention (pp. 234-241). Springer, Cham.