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Multi_Fidelity_Gaussian_Processes
Multi_Fidelity_Gaussian_Processes PublicA 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
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User-based_Machine_Learning
User-based_Machine_Learning PublicThe user defines a set of features and an output to perform a regression task.
Jupyter Notebook 1
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Coronavirus
Coronavirus PublicIn this project, we study the effect of face masks on the death rate due to COVID-19 using different Machine Learning algorithms.
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Deep_Learning_on_ImageNet_dataset
Deep_Learning_on_ImageNet_dataset PublicImages belonging to different classes are downloaded from ImageNet, and a simple neural network is trained and tested on them for classification.
Python
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Convolutional_Neural_Network_on_COCO_dataset
Convolutional_Neural_Network_on_COCO_dataset PublicImages belonging to 10 classes from COCO dataset are used to perform classification using 3 different CNNs.
Python
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