ekinugurel
PhD Student in Transportation Engr @ the University of Washington
University of WashingtonSeattle
ekinugurel's Stars
VirgiAgl/DAG-GP
Code for the paper Multi-task Causal Learning with Gaussian Processes (https://arxiv.org/pdf/2009.12821.pdf)
ecotner/statistical-rethinking
Following along with Statistical Rethinking text on Bayesian modeling by McElreath
meituan/Meituan-INFORMS-TSL-Research-Challenge
Lucky-Fan/GP_TSE
jejjohnson/uncertain_gps
Exploring how to to deal with uncertain inputs with gaussian process regression models.
GeoDS/COVID19USFlows
Multiscale Dynamic Human Mobility Flow Data in the U.S. during the COVID-19 epidemic
fabsig/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
ekinugurel/physics-regularized-MTGP
Includes codes for the forthcoming paper, "Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning"
KindXiaoming/pykan
Kolmogorov Arnold Networks
scikit-mobility/tutorials
Repo for the material used during conference tutorial and talks
MinnieTan/Recommender-System-Based-on-Purchasing-Behavior-Data
Recommend products or brands to users based on browsing history data
khanhnamle1994/instacart-orders
Instacart Market Basket Analysis challenge
xinychen/awesome-latex-drawing
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
e-mission/nrel-openpath-deploy-configs
Configurations for current OpenPATH deployments, published for transparency
ekinugurel/SatMobFusion
A novel real-time event-identification framework fusing satellite imagery with mobile sensor data
mie-lab/trackintel
trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.
ekinugurel/GeoAdVisor
INRIX HackWeek!
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
geo-smart/spacetime-elevation
Spatiotemporal prediction of surface elevation changes on icy terrain (glacier, snow) from repeat DEMs
liguilong3/Individual_level_trip_generatation
Trip generation code of the city-scale synthetic individual-level vehicle trip data.
MobilityData/mobility-database-catalogs
The Catalogs of Sources of the Mobility Database.
ekinugurel/GPSImpute
Includes codes for "Correcting Missingness in Passively-Generated Mobile Data with Multi-task Gaussian Processes"
colorfulfuture/Awesome-Trajectory-Motion-Prediction-Papers
opengeos/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
psrc/psrc_activitysim
microsoft/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
friedrichknuth/gtsa
Methods to stack geospatial rasters and run memory-efficient computations.
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
gpt-engineer-org/gpt-engineer
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
ali92hm/expectation-maximization
An implementation of the expectation maximization algorithm