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Merge pull request #11 from renan-siqueira/develop
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README.md

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## Features
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- Train an autoencoder on your dataset of images.
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- Train various autoencoder architectures: standard, convolutional, variational, and convolutional variational autoencoder on your dataset of images.
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- Visualize the reconstructions of the autoencoder.
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- Evaluate the model on a separate validation set.
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- Save and load model functionality.
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- Checkpointing: Ability to save and resume training from checkpoints.
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- Save and load trained model weights.
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- Utilize custom datasets by simply pointing to your directory.
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## Getting Started
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python run.py
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```
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By default, this will train a new model. If you wish to use a pre-trained model, modify the main method in run.py.
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By default, this will train a new model. If you wish to use a pre-trained model, modify the `main` method in `run.py`.

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