On-demand S3 caching of Google Spreadsheets for Tabletop.js, in Python

Classification and analysis of post-storm response imagery

Tropical cyclone intensity change forecast graphic aid

Deep Reinforcement Learning for Hurricane Path Prediction

Unified data sets that summarises the relevant variables (for my Master’s Thesis) of each analysed tropical-cyclone using data from the HURDAT2 and the HadISST1

Comparing a customised CNN model and Pre-trained MobileNetV2 on image classification of Damaged Houses during a Hurricane

Different Analyses on the effect of Hurricane Maria on the mortality rate on the municipalities of Puerto Rico

Data journalism project on power access across income levels in Gainesville, Florida in the wake of Hurricane Irma.

Project that illustrates how to create a new ggplot2 geom in R.

Jupyter Notebook showing my solutions to questions related to sample Category 5 Atlantic Hurricane Data. The data covers the years from 1928 to 2018.

Computer.org Contest of the year 2004 to visualize hurricane Data, implemented using matplotlib

Deep reinforcement learning for hurricane path prediction.

The Effect of Global Warming on Hurricane and Typhoon Occurrence

Deep reinforcement learning for hurricane path prediction.

Multi-stage Stochastic Programming for Integrated Network Optimization in Hurricane Relief Logistics and Evacuation Planning

A Python parser for the a-deck data posted online by the Automated Tropical Cyclone Forecasting System

A RESTful Flask server that returns JSON data of ATCF storm data.