explainingai-code/DDPM-Pytorch
This repo implements Denoising Diffusion Probabilistic Models (DDPM) in Pytorch
This is a tool for machine learning researchers and students interested in generative models. It allows you to train a Denoising Diffusion Probabilistic Model (DDPM) to generate new images that resemble your input image dataset. You provide a collection of images, and it produces a trained model that can then be used to create novel images, as well as the newly generated images themselves.
179 stars. No commits in the last 6 months.
Use this if you are a machine learning practitioner or researcher who wants to experiment with or understand the implementation of Denoising Diffusion Probabilistic Models for image generation using PyTorch.
Not ideal if you are looking for an out-of-the-box solution to generate images without needing to delve into model training or code modifications.
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179
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Language
Python
License
MIT
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Last pushed
Nov 25, 2024
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