
BigGAN-PyTorch:This is a full PyTorch reimplementation that uses gradient accumulation to provide the benefits of big batches on as few as four GPUs.
GeomLoss: A Python API that defines PyTorch layers for geometric loss functions between sampled measures, images, and volumes. It includes MMD, Wasserstein, Sinkhorn, and more.





PyTorch Geometric: A deep learning extension library for PyTorch that offers several methods for deep learning on graphs and other irregular structures (also known as geometric deep learning) from a variety of published papers.
