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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 43 18

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

    C# 3 1

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

    Jupyter Notebook 1 1

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

    Jupyter Notebook 1

78 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Mon Wed Fri

Contribution activity

August 2021

Created 58 commits in 1 repository
Created 2 repositories
Reviewed 1 pull request in 1 repository
orico/www.mlcompendium.com 1 pull request

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