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An R package for biomass estimation at extratropical forest plots.
Repository containing notebooks of my posts on Medium
user defined colormaps in matplotlib.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Python and JavaScript bindings for calling the Earth Engine API.
Python version of some usefuly Google Earth Engine utilities (migrated from /users/gena/packages JavaScript)
🌐 Local tile server for viewing geospatial raster files with ipyleaflet
GEE awesome stable packages
Google Earth Engine Tools (scripts)
A set of tools to use in Google Earth Engine Code Editor (JavaScript)
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
Deep Learning for Land-cover Classification in Hyperspectral Images.
A set of tools for working with Google Earth Engine Python API in Jupyter notebooks
Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Models and examples built with TensorFlow
LaTeX package multirow
One-class classification in the absence of test data.
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
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.