Ekin's Projects
deep learning
Class files for CSE 547: Machine Learning for Big Data
Practical assignments of the Deep|Bayes summer school 2019
Config files for my GitHub profile.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A Python-based optimization model framework for minimizing daily charging load variation from electric vehicle charging events with respect to user-defined target charging loads.
INRIX HackWeek!
A Python-based application utilizing Streamlit to provide structured, interactive visualizations on the GeoLife GPS Trajectories dataset.
Includes codes for "Correcting Missingness in Passively-Generated Mobile Data with Multi-task Gaussian Processes"
Docs and codes for the GPyTorch tutorial created for the Space-Time Reading Group.
This is a tutorial of running Mobility Analysis Workflow (MAW)
Includes codes for the forthcoming paper, "Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning"
A novel real-time event-identification framework fusing satellite imagery with mobile sensor data