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Name: ramirosilveyra
Type: User
Name: ramirosilveyra
Type: User
The Python ensemble sampling toolkit for affine-invariant MCMC
learning to use github
a collection of knitr examples
Teaching material for Bayesian Statistics
Es un repo de prueba
Functions to support handling and analysis of national forest inventory data
:exclamation: This is a read-only mirror of the CRAN R package repository. NUCOMBog — NUtrient Cycling and COMpetition Model Undisturbed Open Bog Ecosystems in a Temperate to Sub-Boreal Climate
Calculates the centerline of a polygon
Command-line wrapper for the R sensitivity analysis package
An R package for forest growth simulation using the 3-PG process-based model
A R package that wraps the LPJ-GUESS model
:art: A simple and clean responsive Jekyll theme for words and photos.
Teaching Material for the MSc Course Environmental Modelling
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.