This repository contains simple from scratch implementations of Denoising Diffusion Probabilistic Models for small toy examples that can easily be run on a local machine without GPU.
The repository uses
- Python 3.9
- PyTorch 1.13.1
The repository contains the following files:
denoising-diffusion-probabilistic-model.ipynb: From scratch implementation of the 2020 paper "Denoising Diffusion Probabilistic Models" by Jonathan Ho, Ajay Jain, and Pieter Abbeel for the two moons data set (see below).conditional-denoising-diffusion-probabilistic-model.ipynb: Same as above but we can condition on some context information (which moon to sample from in this case).
