davidchoi76 / learning-resources Goto Github PK

Welcome to My GitHub. 👋

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

I did my PhD from 2017 to 2021 at 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)

🤓 Research Area 🤔

1. 🔭 Analyze dam inflow and river water level using AI
2. 🌱 Image segmentation

• (Kera-U-Net) https://github.com/DavidChoi76/keras-unet-collection.git
• https://github.com/DavidChoi76/segmentation_models.pytorch.git
• https://github.com/DavidChoi76/segmentation_gym.git

3. 👯 Rainfall Distribution using Stellite Rainfall
4. 🔭 Downscaling for Climate Change Applications

• https://github.com/DavidChoi76/CCdownscaling

5. Time Series Analysis

• (Dart) https://github.com/DavidChoi76/darts.git
• https://github.com/DavidChoi76/time-series-forecasting-with-python.git
• https://github.com/DavidChoi76/neural_prophet.git
• https://github.com/DavidChoi76/forecastr.git
• https://github.com/DavidChoi76/streamlit_prophet.git
• https://github.com/DavidChoi76/timeseries-rnn.git
• https://github.com/DavidChoi76/forecastr.git
• https://github.com/DavidChoi76/ETC3550Slides.git

6. Data Assimilation

• (DAPPER) https://github.com/DavidChoi76/DAPPER.git
• https://github.com/DavidChoi76/DA-tutorials.git
• https://github.com/DavidChoi76/lstm-data-assimilation.git

7. Streamlit Development

• https://github.com/DavidChoi76/streamlit-water.
• https://github.com/DavidChoi76/streamlit-geospatial.git
• https://github.com/sashamitrovich/Streamlit-Snowflake.git
• https://github.com/DavidChoi76/best-of-streamlit.git
• https://github.com/DavidChoi76/30days.git

8. Reinforcement learning

• https://github.com/DavidChoi76/reinforcement-learning-1.git
• https://github.com/DavidChoi76/Deep-Reinforcement-Learning-With-Python.git
• https://github.com/DavidChoi76/deep-rl-class.git
• https://github.com/DavidChoi76/Platypus.git
• https://github.com/DavidChoi76/reinforcement-learning.git
• https://github.com/DavidChoi76/skimo.git
• https://github.com/DavidChoi76/VICResOpt.git

9. Neural Hydrology

• https://github.com/DavidChoi76/Caravan.git
• https://github.com/DavidChoi76/lstm-data-assimilation.git
• https://github.com/DavidChoi76/neuralhydrology.git

10. Flood

• https://github.com/DavidChoi76/ml4floods.git
• https://github.com/DavidChoi76/Flood-Detection-from-Images-using-Deep-Learning.git
• https://github.com/DavidChoi76/atlantis.git
• https://github.com/DavidChoi76/Global-Flood-Monitor.git
• https://github.com/DavidChoi76/Multimodal-flood-tweet-classification.git

11. Stormwater network

• https://github.com/DavidChoi76/pipedream.git
• https://github.com/DavidChoi76/pystorms.git
• https://github.com/DavidChoi76/swmm_wq_rl.git

12. Data Quality Control

• https://github.com/DavidChoi76/pyhydroqc.git

13. Precipitation Forecast

• https://github.com/DavidChoi76/DeepPrecip.git

14. Climate Change

• https://github.com/DavidChoi76/CCdownscaling.git

15. River Analysis

• https://github.com/DavidChoi76/river-dl.git

🤓 Links 🤔

1. Dissertation (https://doi.org/10.18130/g9tg-0c69)
2. Google Scholar (https://scholar.google.com/citations?hl=ko&user=VCyCE5QAAAAJ&view_op=list_works&sortby=pubdate)

🤓 Interested Areas 🤔

1. Weights and Biases(Explainable AI)

• https://github.com/DavidChoi76/examples
• https://github.com/DavidChoi76/PiML-Toolbox.git

2. Google Earth Engine

• eeMont: https://github.com/DavidChoi76/eemont

3. ML for classification of proteins: https://github.com/DavidChoi76/Retraining_Notebook
4. JupyterLab: https://github.com/DavidChoi76/jupyterlab.git
5. Google Research(flood inundation): https://github.com/DavidChoi76/google-research/tree/master/flood_forecasting
6. Scikit-learn: https://github.com/DavidChoi76/scikit-learn-intelex.git
7. Deep learning Education

• https://github.com/DavidChoi76/course22.git
• https://github.com/DavidChoi76/master.git
• https://github.com/DavidChoi76/AdvancedML.git
• https://github.com/DavidChoi76/Retraining_Notebook.git
• https://github.com/fastai/course22.git

8. Geostatistical toolbox: https://github.com/DavidChoi76/GSTools.git
9. Visualization

• https://github.com/DavidChoi76/chart-challenge-22.git
• https://github.com/DavidChoi76/dash-dbx-sql-realtime.git

10. Satellite Image

• https://github.com/DavidChoi76/satellite-image-deep-learning.git
• https://github.com/DavidChoi76/EASYMORE.git
• https://github.com/DavidChoi76/Satip.git

11. Network Science

• https://github.com/DavidChoi76/FirstCourseNetworkScience.git

12. NeRF

• https://github.com/DavidChoi76/LargeScaleNeRFPytorch.git
• https://github.com/DavidChoi76/awesome-NeRF.git
• https://github.com/DavidChoi76/NeRF-Factory.git
• https://github.com/DavidChoi76/nerfstudio.git
• https://github.com/DavidChoi76/instant-ngp.git

13. NLP for Korean

• https://github.com/DavidChoi76/KoELECTRA.git

🤓 Sharing 🤔

1. Hugging face

• scikit-learn: https://github.com/DavidChoi76/skops.git

2. AWS SageMaker

• https://github.com/DavidChoi76/studio-lab-examples.git

3. GCP Vertex AI

• https://github.com/DavidChoi76/vertex-ai-mlops.git

4. Google Research

• https://github.com/DavidChoi76/google-research.git

5. Africa Rainfall Retrieval

• https://github.com/DavidChoi76/SWIFT_RF_Rainfall.git

6. Python for Microscopists

• https://github.com/DavidChoi76/python_for_microscopists.git

7. Interpretable Machine Learning

• https://github.com/DavidChoi76/PiML-Toolbox.git

8. PipeLine for ML

• https://github.com/DavidChoi76/ludwig.git

🤓 Focusing 🤔

1. TADA: Talk About Data Analytics https://github.com/tadatascience
2. NLP study: https://github.com/DavidChoi76/2022_fall_nlp_do_it.git

🤓 Models 🤔

1. https://github.com/DavidChoi76/SWAT.git
2. https://github.com/DavidChoi76/pysumma.git
3. https://github.com/DavidChoi76/MetSim-tutorial.git
4. https://github.com/DavidChoi76/pipedream.git

🤓 Spatial Data 🤔

1. https://github.com/DavidChoi76/opentopodata.git
2. https://github.com/DavidChoi76/rabpro.git
3. https://github.com/Servir-Mekong
4. https://github.com/DavidChoi76/GSTools.git

🤓 RAT Research 🤔

1. https://github.com/DavidChoi76/rat-training-2022
2. https://github.com/DavidChoi76/rat_v2
3. https://github.com/DavidChoi76/rat-reservoir_assessment_tool
4. https://github.com/DavidChoi76/cuahsi_data_viz_2022_project

🤓 UVA Study 🤔

1. https://github.com/DavidChoi76/handson-ml3