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Using TensorFlow backend, multiple methods and their results to achieve best classification for CIFAR10 image dataset. Edit: I have also included a complete keras guide (Colab Notebook) to build CNN-single Layer, CNN-Multi Layer and Transfer learning based CIFAR10 classification.
Determines whether a specific user is wearing a face mask or not using a 2-factor approach written in Python with TensorFlow and OpenCV modules. Includes a Google Colab notebook tutorial and code for real-time detection using OpenCV.
Python function for analyzing calcium imaging and cell tracking data from a project "Biomechanics and function of proprioceptors". Contains google colab notebooks and Jupyter notebooks.
SharpestMinds Capstone Project: Data Analysis of Lyft’s Bay Wheels in San Francisco. The ReadMe includes a directory of all Google Colab notebooks found in the Jupyter Book, in addition to listing all of the raw data source used throughout.