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model-checkpoint

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renan-siqueira / autoencoder-research

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A comprehensive toolkit built with PyTorch, designed to facilitate the training, evaluation, and visualization of autoencoders. From simple linear autoencoders to convolutional and variational architectures, this project offers an intuitive and expandable framework for anyone delving into the realm of unsupervised learning.

python docker dockerfile machine-learning computer-vision deep-learning image-reconstruction virtualization container image-processing pytorch neural-networks autoencoder dimensionality-reduction unsupervised-learning convolutional-neural-network data-augmentation variational-autoencoder model-checkpoint
  • Updated Oct 16, 2023
  • Python

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