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  1. best-execution best-execution Public

    Application of reinforcement learning to the development of execution algorithms in the field of finance. These algorithms break CARE orders into CHILD orders and exectute them in the market.

    Jupyter Notebook 6 8

  2. probaV-super-resolution probaV-super-resolution Public

    Project to test the capabilities of deep learning architectures for the super-resolution task using hyperspectral images published by the PROBA-V satellite [old].

    Python 2

  3. nlp-information-extraction nlp-information-extraction Public

    Tool to label and train NLP models for the information extraction task. NLP models are written in Python, but other languages ​​can be applied.

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  4. Decision_trees_and_svm Decision_trees_and_svm Public

    Jupyter Notebook 1

  5. SEM-segmentation SEM-segmentation Public

    Python

  6. hyperspectral-autoencoder hyperspectral-autoencoder Public