A PyTorch implementation of diffusion model on MNIST dataset

This is a simple diffusion model implementation on the MNIST dataset (handwritten digits) using PyTorch.

This work is based on the work described in this paper: Ho, J., Jain, A., & Abbeel, P. (2020). Denoising Diffusion Probabilistic Models. ArXiv. /abs/2006.11239

Paper link: https://arxiv.org/abs/2006.11239