Hyunglok-Kim

Hyung

GISTSouth Korea

Pinned Repositories

Adv360-Pro-GUI
Keymap Editor for the Advantage360 Pro with ZMK
Language:HTML00
Bayesian_uncertainty_LSTM
Bayesian, Uncertainty, Neutral Networks, LSTM, time series
Language:Jupyter Notebook00
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Language:Python00
Big_Data_in_Earth_Science
CE6000 Data Science Modules
Language:Jupyter Notebook00
Data_Assimilation_EnKF
Ensemble Kalman filter (EnKF) with perturbed observations
00
EN5422_EV4238
Language:Jupyter Notebook11
EN5423
Language:Jupyter Notebook1 1 02
HydroAI
Language:Jupyter Notebook12
LISF
Land Information System Framework
Language:Fortran00
sm2rain
Python implementation of the SM2RAIN algorithm
Language:Python10

Hyunglok-Kim's Repositories

Hyunglok-Kim/EN5422_EV4238
Language:Jupyter Notebook11
Hyunglok-Kim/EN5423
Language:Jupyter Notebook1 1 02
Hyunglok-Kim/HydroAI
Language:Jupyter Notebook12
Hyunglok-Kim/sm2rain
Python implementation of the SM2RAIN algorithm
Language:Python10
Hyunglok-Kim/Adv360-Pro-GUI
Keymap Editor for the Advantage360 Pro with ZMK
Language:HTML00
Hyunglok-Kim/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Language:Python00
Hyunglok-Kim/Big_Data_in_Earth_Science
CE6000 Data Science Modules
Language:Jupyter Notebook00
Hyunglok-Kim/LISF
Land Information System Framework
Language:Fortran00
Hyunglok-Kim/Adv360-Pro-ZMK
Production repository for the all-new Advantage360 Professional using ZMK engine
Language:Shell
Hyunglok-Kim/cyfi
Estimate cyanobacteria density based on Sentinel-2 satellite imagery
Hyunglok-Kim/DataAssim.jl
Implementation of various ensemble Kalman Filter data assimilation methods in Julia
Hyunglok-Kim/Deep_Learning
This repository is for the Python and R codes for my deep learning tasks
Language:Jupyter Notebook
Hyunglok-Kim/DL_Error
Language:Jupyter Notebook
Hyunglok-Kim/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Hyunglok-Kim/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Hyunglok-Kim/HydroAI_bash
various bash scripts
Language:Shell
Hyunglok-Kim/Hyunglok-Kim.github.io
Part of the Academic Website Workshop
Language:JavaScript
Hyunglok-Kim/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.
Hyunglok-Kim/ldt_MLerrDA
1 0
Hyunglok-Kim/ldt_Rivanna
Language:Fortran
Hyunglok-Kim/lis_dataassim
update dataassim modules for using 2D time-variant/invariant ML/TC based error data
Hyunglok-Kim/lis_Rivanna
Language:Fortran
Hyunglok-Kim/MesoNet
"MesoNet: a Compact Facial Video Forgery Detection Network" (D. Afchar, V. Nozick) - IEEE WIFS 2018
Hyunglok-Kim/noahmp
Noah-MP Community Repository
Hyunglok-Kim/pangeo_lstm_example
Example notebook, showing how to use LSTMs for rainfall-runoff modeling
Hyunglok-Kim/Random_Forest
Tree-based methods are conceptually simple yet powerful because of 1) flexibility, intuitive, non-model based 2) natural graphical display, easy to interpret, 3) building blocks of RF and Tree-based Boosting, 4) naturally includes feature interactions, and 5) reduces need for monotonic feature transformations
Language:Jupyter Notebook
Hyunglok-Kim/sac-sma-decision-scaling
Hyunglok-Kim/satellites
Language:MATLAB
Hyunglok-Kim/sixty_sixteen
deep learning code
Hyunglok-Kim/vision
Datasets, Transforms and Models specific to Computer Vision