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Achievement: Pull SharkAchievement: YOLO

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ekinugurel/README.md
  • 👋 Hi, I’m Ekin Ugurel.
  • 👀 I’m interested in mobile sensor data for human mobility modeling.
  • 🌱 I’m currently learning about Gaussian Processes, kernel methods, and statistical modeling of spatiotemporal data.
  • 💞️ Looking to collaborate? Reach out!
  • 📫 You can email me at ugurel [at] uw [dot] edu

Pinned Loading

  1. physics-regularized-MTGP physics-regularized-MTGP Public

    Includes codes for, "Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning"

    Jupyter Notebook 2

  2. GPSImpute GPSImpute Public

    Includes codes for "Correcting Missingness in Passively-Generated Mobile Data with Multi-task Gaussian Processes"

    Jupyter Notebook 2

  3. SatMobFusion SatMobFusion Public

    A novel real-time event-identification framework fusing satellite imagery with mobile sensor data

    Jupyter Notebook 4

  4. GeoAdVisor GeoAdVisor Public

    INRIX HackWeek!

    Jupyter Notebook 4

  5. EVCLOM EVCLOM Public

    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.

    Python

  6. cornellius-gp/gpytorch cornellius-gp/gpytorch Public

    A highly efficient implementation of Gaussian Processes in PyTorch

    Python 3.6k 562