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  1. Multi_Fidelity_Gaussian_Processes Multi_Fidelity_Gaussian_Processes Public

    A recursive version of Multi Fidelity Gaussian processes is implemented to eliminate the need for running numerous high-fidelity level (fine grid) simulations.

    Jupyter Notebook 1

  2. User-based_Machine_Learning User-based_Machine_Learning Public

    The user defines a set of features and an output to perform a regression task.

    Jupyter Notebook 1

  3. Coronavirus Coronavirus Public

    In this project, we study the effect of face masks on the death rate due to COVID-19 using different Machine Learning algorithms.

    Jupyter Notebook

  4. Uncertainty_Quantification_course Uncertainty_Quantification_course Public

    Jupyter Notebook

  5. Deep_Learning_on_ImageNet_dataset Deep_Learning_on_ImageNet_dataset Public

    Images belonging to different classes are downloaded from ImageNet, and a simple neural network is trained and tested on them for classification.

    Python

  6. Convolutional_Neural_Network_on_COCO_dataset Convolutional_Neural_Network_on_COCO_dataset Public

    Images belonging to 10 classes from COCO dataset are used to perform classification using 3 different CNNs.

    Python