v.0.3.0

• Add SOTA GANs: LGAN, TACGAN, StyleGAN2, MDGAN, MHGAN, ADCGAN, ReACGAN (our new paper).
• Add five types of differentiable augmentation: CR, DiffAugment, ADA, SimCLR, BYOL.
• Implement useful regularizations: Top-K training, Feature Matching, R1-Regularization, MaxGP
• Add Improved Precision & Recall, Density & Coverage, iFID, and CAS for reliable evaluation.
• Support Inception_V3 and SwAV backbones for GAN evaluation.
• Verify the reproducibility of StyleGAN2 and BigGAN.
• Fix bugs in FreezeD, DDP training, Mixed Precision training, and ADA.
• Support Discriminator Driven Latent Sampling, Semantic Factorization for BigGAN evaluation.
• Support Wandb logging instead of Tensorboard.