joun58's Stars
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
nick-terry/CIC
tommlogan/access_to_essentials
Demonstration of the approach to operationalise urban resilience, using Hurricane Florence's effect on Wilmington, NC
scottbmiles/DESaster-Infrastructure-Restoration
kourgeorge/arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
IN-CORE/incore-docs
IN-CORE documentations
ddsuw/HurricaneHarvey
jackkwok/neural-road-inspector
After a hurricane, roads are often flooded or washed out, making them treacherous for motorists. Using state of the art deep learning methods, I attempted to automatically annotate flooded, washed out, or otherwise severely damaged roads. My goal is create a tool that can help detect and visualize anomalous roads in a simple user interface.
kstamatiou/mltools
A collection of Machine Learning Tools for object detection and classification on DG imagery.
kstamatiou/geoio
Easily interact with geospatial data, particularly Digitalglobe Imagery
DigitalGlobe/mltools
A collection of Machine Learning Tools for object detection and classification on DG imagery.
DigitalGlobe/gbdxtools
(Deprecated) Python SDK for using GBDX
WISDEM/WISDEM
Wind Plant Integrated System Design and Engineering Model
DTUWindEnergy/TOPFARM
A repository for a wind plant layout optimisation tool based on FUSED-Wind and FUSED-Wake
WISDEM/AeroelasticSE
DEPRECATED: Wrapper for the FAST Aeroelastic Code
DTUWindEnergy/Python4WindEnergy
This is a repository to gather the teaching material used for the course Python for Wind Energy organised at DTU Wind Energy
FUSED-Wind/fusedwind
OpenMDAO/OpenMDAO-Framework
A python based open-source (Apache 2.0) engineering analysis framework designed to facilitate the use of MDAO. To add issues, visit our user forums at http://www.openmdao.org/forum . NOTE: this version is no longer being developed. The current active version can be found here: https://github.com/OpenMDAO/OpenMDAO.