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  1. An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.

    Jupyter Notebook 44 19

  2. A tool for classifying brain patterns from fMRI RAW DICOM data in real-time (and offline) based on machine learning methods.

    C# 4 3

  3. A comparison of PCA & Autoencoder (linear & non linear) in terms of dense features and clustering results.

    Jupyter Notebook 2 2

  4. Unit test and logging example for research purposes on a classification problem using the MNIST data-set

    Jupyter Notebook 2 1

79 contributions in the last year

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September 2021

orico has no activity yet for this period.

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