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Implementation of the meta-learner RelationNet for biomedical few-shot classification tasks.

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Deep Learning for Biomedicine - CS-502 Project

Authors: Sebastian Breguel, Pierre Lardet and Kai Mashimo

This is the repository for the project of "Deep Learning for Biomedicine" course (CS-502). It is organized into to folders:

  • fewshotbench: Contains the code implementations for our models. To run the models and replicate our experiments, please refer to this folder. You will find a step-by-step guide in the README.

  • report: figures and tables representing the results of our experiments.

For specific instructions on how to run the models and recreate our experiments, please refer to the README file located in the fewshotbench folder.

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Implementation of the meta-learner RelationNet for biomedical few-shot classification tasks.

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  • Jupyter Notebook 81.9%
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