3. Variational discriminator bottleneckImplementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVERSE RL, AND GANS BY CONSTRAINING INFORMATION FLOW" (arxiv -> https://arxiv.org/pdf/1810.00821.pdf)
4. Msg Gan V1MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)
5. FaganA variant of the Self Attention GAN named: FAGAN (Full Attention GAN)
8. Bmsg Gan[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
9. T2fT2F: text to face generation using Deep Learning
11. attn gan pytorchpython package for self-attention gan implemented as extension of PyTorch nn.Module. paper -> https://arxiv.org/abs/1805.08318