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A curated list of Google Earth Engine resources
👥 轻松创建研究组或组织网站 Easily create a stunning Research Group, Team, or Business Website with no-code
Code examples in pyTorch and Tensorflow for CS230
Installation support for Deep Learning Frameworks for the ArcGIS System
A library for scientific machine learning and physics-informed learning
Senyao Feng’s personal homepage.
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".
The world’s fastest framework for building websites.
Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:
matplotlib: plotting with Python
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats
Python bindings for the PROSAIL canopy reflectance model
Integrates Google Earth Engine and QGIS using Python API
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Config files for my GitHub profile.
SIAC GEE version
:book: [译] scikit-learn(sklearn) 中文文档
GEE App to explore the state of the world's (degraded) soils
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.