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Awesome GitHub RepositoriesAutomated Folder-Based Training
Training loops that automatically load images from a directory, checkpoint, and log samples without manual pipeline setup.
Distinct from Diffusion Model Training: Distinct from Diffusion Model Training: focuses on the automated folder-based training loop with built-in checkpointing and logging, not the general training workflow.
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Awesome Automated Folder-Based Training GitHub Repositories
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- lucidrains/denoising-diffusion-pytorch
lucidrains/denoising-diffusion-pytorch
10,614Ver en GitHubImplementation of Denoising Diffusion Probabilistic Model in Pytorch
Automates the training loop for diffusion models by pointing at a folder of images, handling checkpointing and sample logging.
Pythonartificial-intelligencedeep-learninggenerative-model
