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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.

Explore 1 awesome GitHub repository matching artificial intelligence & ml · Automated Folder-Based Training. Refine with filters or upvote what's useful.

Awesome Automated Folder-Based Training GitHub Repositories

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  • lucidrains/denoising-diffusion-pytorchAvatar von lucidrains

    lucidrains/denoising-diffusion-pytorch

    10,614Auf GitHub ansehen↗

    Implementation 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
    Auf GitHub ansehen↗10,614
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