Implementation of the paper "Learning Embeddings into Entropic Wasserstein Spaces" (Sinkhorn embeddings) and application to visual embeddings with MNIST.
Report: https://github.com/ridouaneg/Sinkhorn-Embeddings-MNIST/blob/main/OT_report.pdf
Credit to https://github.com/gabsens/Learning-Embeddings-into-Entropic-Wasserstein-Spaces-ENSAE for the original implementation of the Sinkhorn embeddings for word embeddings.