Rui Gao's repositories
crop_yield_prediction
Crop Yield Prediction with Deep Learning
deep-learning-frameworks
Installation support for Deep Learning Frameworks for the ArcGIS System
Group_Materials
Materials for our research group.
LAI2200C-PCA_Feature_Extraction
Extract information from the Plant Canopy Analyzer containing coordinates, time, and the corresponding LAI value.
nsf_dsaw_application_1
Farm Scale Soil Moisture using Remote Sensing and Water Budget Products
PSC6003-CEE6003_Practice_Material
Materials for Class.
Wellsville
Group project for Wellsville.
CEE6190_GIS_Hillshade
Materials for Class.
GoodnessOfFitModel
9 statistics are included. What you need to provide are two vectors: label column and prediction column.
Rui_Functions_Package
Including all the functions I used for my project or ...
AggieAir-Images-4-TSEB
Gain images based on AggieAir-platform image to support TSEB model.
chpc-myjobs-templates
SLURM job templates, including integration with Open OnDemand
EC-Tower_Data_Organizing
Based on the time, the corresponding records are expected to extracted from the EC-tower processed data (table), which is used for footprint-area calculation and TSEB modeling.
flux-data-qaqc
Energy Balance Closure Analysis and Eddy Flux Data Post-Processing
fluxpart
Python module for partitioning eddy covariance flux measurements.
hands-on-scikit-learn-for-mach-learning-apps
Source code for 'Hands-on Scikit-Learn for Machine Learning Applications' by David Paper
leafmap
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
machine-learning
notebooks with example for machine learning examples
mljar-supervised
Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
prj_earthengine_hydroshare
This is an ongoing work to integrate EarthEngine funtionality into Hydroshare JupyterHUB. Examples and code are presented
pyDMS
Python implementation of Data Mining Sharpener
python-lectures
Jupyter Notebooks and related files for the Center for High Performance Computing's python lectures
RG_Gfit
Statistics used for Rui's research.
shap
A game theoretic approach to explain the output of any machine learning model.
SiLSM_v3
An Modified Shuttleworth-Wallace model with isotopic tracers
TSEB_Components
Digital values of important components from the TSEB model within footprint: Rn, H, LE, G, and LE (Canopy), and also the average LAI value extracted from the footprint area.