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Shallow Classifiers and tflite models that are ready to run. - #13

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Manas Mangaonkar (manasmgkar) wants to merge 1 commit into
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Shallow Classifiers and tflite models that are ready to run. #13
Manas Mangaonkar (manasmgkar) wants to merge 1 commit into
microsoft:mainfrom
manasmgkar:main

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@manasmgkar

@manasmgkar Manas Mangaonkar (manasmgkar) commented Jan 24, 2026

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This Commit Contains

  1. Ready to use Shallow classifiers trained for major currencies based on the shallow_classifier.h5 from this repo.
  2. Ready to Use Tflite shallow currency classifier encoder/decoder fused models that can run on mobile/edge devices using tensorflowlite,
  3. Labels for popular currencies so that users can use the labels to create their own encoder-decoder models using the shallow_classifier.h5

I have utilized the shallow classifiers and fused models in a accessibility app i have built for neurodiverse folks since the seeing ai app lacks multiple features useful for neurodiverse folks while interacting with money , the app --> https://github.com/manasmgkar/ND-Money , credits to the original repo and researchers here --> https://github.com/manasmgkar/ND-Money#-special-acknowledgements .

Wanted to contribute them to the main repo so that people can directly use the pretrained shallow_classifiers for most currencies.

This Commit Contains 

1. Shallow classifiers pre-trained from embeddings , ready to use
2. Tflite models to run on mobile/edge devices the pre-trained shallow classifiers, the models use the labels and the encoder and the shallow_classifier fused model 
3. Labels for popular currencies.
@manasmgkar

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@microsoft-github-policy-service agree

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