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Tutorial repository of introduction to porous materials using MATLAB
The program allows segmentation of void space in porous materials into pores and throats and computation of geodesic distances
《R语言预测实战》书籍数据及代码
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Python Interface for Crop Model DSSAT
Python package for calculating reference/potential evapotranspiration (ETo).
Python Data Science Handbook: full text in Jupyter Notebooks
Exercises (incl. analyses) with R language (math+statistics)
:notebook: Data Carpentry R lessons on ecology.
R for data science
BIOL 601
JVM-based interpreter for the R language for the statistical analysis.
An R package to flexible rearrange, reshape and aggregate data
Statistical Rethinking course and book package
Application to extract features from plant root images
Source code for R in Action, Second Edition
My directory of R packages for data analysis and visualization, Bayesian statistics, mapping, GIS, climate, Species Distribution Modelling, ecology, etc
rSFSW2: A R package to create soil water balance simulation experiment
RStan, the R interface to Stan
Introduction to Biological Data Analysis in R is an informal, participant-led "seminar" on basic statistics and R at the University of Connecticut. All sessions are taught by current undergraduate and graduate students in EEB and NRE. The goal of the class is to provide participants with a basic set of skills to do research and analysis in ecology, evolutionary biology, environmental science, and natural resources.
Statistical Analysis of Network Data with R
scikit-learn: machine learning in Python
Statistical data visualization using matplotlib
Ricardo Braga's Simple Crop model. Used as a simple example of a modular crop model in the style of DSSAT-CSM.
Three methods to calculate solar radiation interception in multi species canopies
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
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.