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README.md
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license: apache-2.0
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---
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license: apache-2.0
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library_name: pytorch
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pipeline_tag: image-to-image
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datasets:
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- ylecun/mnist
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language:
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- en
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---
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# DenseUNet
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An image-to-image model for upscaling blurry MNIST-like images.
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## Table of contents
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- [Model Summary](#model-summary)
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- [Use Cases & Limitations](#use-cases--limitations)
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- [How to Use](#how-to-use)
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- [Model Details](#model-details)
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- [Training Procedure](#training-procedure)
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- [Evaluation](#evaluation)
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- [Ethical Considerations & Limitations](#ethical-considerations--limitations)
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- [Caveats and Recommendations](#caveats-and-recommendations)
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- [Citation](#citation)
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- [License](#license)
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- [Contact](#contact)
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---
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## Model Summary
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- **Task:** Image to image (upscaling)
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- **Architecture:** UNet with Dense layers
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- **Inputs:** MNIST image
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- **Outputs:** Upscaled images of numbers
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- **Intended Users:** Students learning image-to-image tasks
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## Use Cases & Limitations
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### Intended uses
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- learning image-to-image model behavior
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### Out-of-scope uses / limitations
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- Not for production or deployment
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## How to Use
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```python
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# ToDo
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```
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## Model Details
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## Training Procedure
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## Evaluation
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## Ethical Considerations & Limitations
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## Caveats and Recommendations
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## Citation
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## License
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## Contact
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