A reimplementation of DCGAN in PyTorch. Although there is an abundant source of code and examples found online (as well as an official PyTorch tutorial, the codebase does not really fit my style, as well they lack the flexibility for adding intermediate layers/blocks, generating interpolation loops, visualizing intermediate representations, you name it.

• TODO: everything