Skip to content
View DavidChoi76's full-sized avatar
🎯
Focusing
🎯
Focusing
23 followers · 123 following

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Block or report DavidChoi76

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
DavidChoi76/README.md

Welcome to My GitHub. 👋

I'm YoungDon Choi, a principal researcher at K-water AI research Lab ( https://github.com/Kwater-AILab) . I have worked at K-water (https://www.kwater.or.kr/eng/about/sub02/kwaterPage.do?s_mid=1099) since 2003 with many experiences such as dam operation, water resources survey and planning, water technology strategy, and water information system. Currently, I'm working at K-water AI research Lab to apply AI in water resources fields.

I did my PhD from 2017 to 2021 at the UVA Hydroinformatics research group (https://uvahydroinformatics.org/team/) in University of Virginia (https://www.virginia.edu/). This is my Dissertation (https://doi.org/10.18130/g9tg-0c69), google scholar(https://scholar.google.com/citations?user=VCyCE5QAAAAJ&hl=en) and Resume(https://github.com/DavidChoi76/profile/blob/main/YD_Choi_17June2022.pdf)

These are my current research. 🤓 Focusing 🤔

  1. 🔭 Application of neuralhydrology and other AI technologies for upstream and downstream analysis for dam operation

  1. 🌱 Long-Term Water Demand Forecasting

  2. 👯 Satellite Rainfall Distribution using Machine Learning

  3. 🔭 Urban Inundation Forecasting using Machine Learning as Surrogate Model

  4. 🌱 Application of NeRF and 3DGS in Water Infrastructures

  5. 👯 Drought Quantification using Social data such as Newspapers

Study for Deeper Understanding. 🤓 Focusing 🤔

  1. Differentiable Modeling

Study HydroMT. 🤓 Focusing 🤔

  1. hydromt: https://github.com/DavidChoi76/hydromt
  2. hydromt_wflow: https://github.com/DavidChoi76/hydromt_wflow
  3. hydromt_delwaq: https://github.com/DavidChoi76/hydromt_delwaq
  4. hydromt_sfincs: https://github.com/DavidChoi76/hydromt_sfincs
  5. hydromt_fiat: https://github.com/DavidChoi76/hydromt_fiat
  6. hydromt_delft3dfm: https://github.com/DavidChoi76/hydromt_delft3dfm

Study Computer Vision and Segmentation. 🤓 Focusing 🤔

  1. Segmentation Anything: https://github.com/DavidChoi76/segment-anything
  2. Segmentation Anaything2: https://github.com/DavidChoi76/segment-anything-2
  3. Segmentation Anaything2 Real Time Examples: https://github.com/DavidChoi76/segment-anything-2-real-time
  4. segmentation geospatial: https://github.com/DavidChoi76/segment-geospatial
  5. YOLOv8: https://github.com/DavidChoi76/ultralytics
  6. Awesome YOLO: https://github.com/DavidChoi76/awesome-yolo
  7. segmentation geospatial: https://github.com/DavidChoi76/segment-geospatial

Optimization 🤓 Focusing 🤔

  1. scikit-opt: https://github.com/DavidChoi76/scikit-opt

Photogrammetry 🤓 Focusing 🤔

  1. Photogrammetry: https://github.com/DavidChoi76/Photogrammetry-Guide
  2. OpenDroneMap: https://github.com/OpenDroneMap

Pinned Loading

  1. HydroLSTM HydroLSTM Public

    Forked from uihilab/HydroLSTM

    LSTM Data and Model for Streamflow Forecasting

    Jupyter Notebook

  2. lstm-data-assimilation lstm-data-assimilation Public

    Forked from grey-nearing/lstm-data-assimilation

    Jupyter Notebook

  3. mts-lstm mts-lstm Public

    Forked from kratzert/mts-lstm

    Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network

    Jupyter Notebook

  4. neuralhydrology neuralhydrology Public

    Forked from neuralhydrology/neuralhydrology

    Python library to train neural networks with a strong focus on hydrological applications.

    Python 1

  5. dMC-Juniata-hydroDL2 dMC-Juniata-hydroDL2 Public

    Forked from mhpi/dMC-Juniata-hydroDL2

    A novel differentiable modeling framework to perform routing and to learn a “parameterization scheme” (a systematic way of inferring parameters from more rudimentary information) for routing flows …

    Python

  6. hydroDL hydroDL Public

    Forked from mhpi/hydroDL

    Python