hmdolatabadi/denoising_diffusion
Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
This tool helps machine learning engineers and researchers implement and experiment with Denoising Diffusion Probabilistic Models. It takes configuration settings and training data, then outputs a trained model that can generate new images. This is ideal for those working on generative AI applications.
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Use this if you are a machine learning practitioner looking for a PyTorch-based implementation of Denoising Diffusion Probabilistic Models to train on your own datasets or generate new images.
Not ideal if you are looking for an out-of-the-box solution to generate specific types of images without needing to train or configure models, or if you prefer a different deep learning framework.
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91
Forks
12
Language
Python
License
MIT
Category
Last pushed
Oct 04, 2020
Commits (30d)
0
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