Google Colab
My personal notes for Google Colab notebooks
Trained a flower image classification deep learning model using AWS SageMaker and associated ecosystem tools. A REST API was deployed for external consumption.
Created a basic document scanner using OpenCV that detects a 4-sided document in an image and straightens it out for a full frontal view.
Back in August 2016, I started on an educational journey to deepen my Computer Science knowledge with the OMSCS…
Used graph cut optimization to auto generate looping cinemagraphs from videos, based on “Automated Video Looping with Progressive Dynamism”, Z. Liao et al., 2013, implemented in C++
Implemented “Seam
Carving for Content-Aware Image Resizing”, S. Avidan and A. Sharmir, 2007, the magical algorithm that allows for resizing of images while preserving major features
Used deep Q-learning to train a rocket to land successfully in Lunar Lander (OpenAI Gym)
Analysis using R to visualize taxi pickup locations in New York that resulted in the highest tip amount from passengers during morning rush hours