Yang's repositories
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
awesome-gee-community-datasets
Community Datasets added by users and made available for use at large
CommunityGeeViz
Repository of GEE libraries produced by RedCastle Inc at the US Forest Service Geospatial Technology Applications Center
earthengine-api
Automatically exported from code.google.com/p/earthengine-api
elapid
Species distribution modeling tools, including a python implementation of Maxent
FIESTA
FIESTA (Forest Inventory ESTimation and Analysis) is a research estimation tool for analysts that work with sample-based inventory data from the U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program. Follow the link below for more information:
global-canopy-height-model
This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.
grok-1
Grok open release
Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
hls-foundation-os
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
kaggle-web-traffic
1st place solution
landcoverPortal
simple example of landcover portal
Matplotlib-for-Storytellers
Python data visualization book
OEEex
A chrome extension to enhance Google Earth Engine code editor
openet-ssebop
Earth Engine SSEBop ET Model
Orion
A machine learning library for detecting anomalies in signals.
pydaymet
A part of HyRiver software stack for retrieving and post-processing climate data from the Daymet Webservice.
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
sepal
Geographical Data Processing in the Cloud
table-evaluator
Evaluate real and synthetic datasets against each other
timemachine-creator
Tool for creating your own zoomable time lapses.
Transformers-for-NLP-and-Computer-Vision-3rd-Edition
Transformers 3rd Edition
WPsCS-Estimator
Wood Products Carbon Storage Estimator (WPsCS Estimator)
Xee
An Xarray extension for Google Earth Engine