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@@ -47,17 +47,43 @@ An image-to-image model for upscaling blurry MNIST-like images.
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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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  ```
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  ## Model Details
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+ - **Developers:** Blaise Gauvin St-Denis (bstdenis)
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+ - **Organization:** Ouranos
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+ - **Version:** v1.0 (2025-08-13)
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+ - **Dataset:** `mnist` (trainsplit)
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+ - **Evaluation dataset:** `mnist` (test split)
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+ - **Compute:** 1x L40 (ToDo training time)
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+ - **Framework:** Dense UNet / PyTorch 2.8
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+ - **Hardware/Software dependencies:** CUDA 12.8, Python 3.12
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  ## Training Procedure
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+ ### Data preprocessing
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+ - Resize to 32 x 32 with all possible locations for the 28 x 28 original data
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+ - Downcale 4x (to 8 x 8)
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+
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+ ### Hyperparameters
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+ - Epochs:
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+ - Batch size:
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+ - Learnings rate:
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+ - Weight decay:
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+ - Seed: 0
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+
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  ## Evaluation
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  ## Ethical Considerations & Limitations
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+ - For educational purpose only
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  ## Caveats and Recommendations
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  ## Citation
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+ If you use this model, please cite
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+
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+ ToDo
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  ## License
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+ This model is released under the Apache 2.0 License. See `LICENSE` file.
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+ ## Contact
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+ - **Maintainer:** @bstdenis