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An R package for calculating and analyzing food demand and in accordance with the Edmonds et al food demand model
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Lecture notes on Bayesian deep learning
Code associated with blog
Community Emissions Data System (CEDS)
Collection of Python analysis and visualization codes for CGE models and related data
Cookiecutter template for a Python package.
A collection of open source projects relevant for industrial ecology practitioners, hosted on GitHub and beyond
Distributed Evolutionary Algorithms in Python
article which introduces decompr package
QGIS Plugin for calculating ecosystem service values for a given area
computer io
enaR = Ecological Network Analysis in R
An implementation of the exponential random graph model
Here I share a series of codes I have written to process EXIOBASE v3.4.
FeliX (Functional Enviro-economic Linkages Integrated neXus) is a system dynamics model of global social, economic, and environmental Earth systems.
Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
GCAM-China - The Global Change Analysis Model with China provincial-level details
GCAM -- The Global Change Analysis Model
Python package to calculating forcing from continuous GHG emissions
R code used to estimate nitrogen use indicators for "Nitrogen emissions in global livestock supply chains" paper
Global Value Chain tools
The highfrequency package contains an extensive toolkit for the use of highfrequency financial data in R. It contains functionality to manage, clean and match highfrequency trades and quotes data. Furthermore, it enables users to: calculate easily various liquidity measures, estimate and forecast volatility, and investigate microstructure noise and
International Trade Network Analysis in R. This package can clean and transform international trade data from WITS (http://wits.worldbank.org/) into a international trade network and undertake descriptive analysis
Concepts of Intelligence Artificial :brain:, Machine Learning :gear:, and Deep Learning :crystal_ball: EXPLAINED :seedling: in detail and put it into PRACTICE :deciduous_tree:.
The system model frame work. Turning the raw data into into a computational structure.
Compute environmental burden (B) utilizing an MRIO or other IO database. Requires custom Y consumption matrix.
来自一位 Pythonista 的编程经验分享,内容涵盖编码技巧、最佳实践与思维模式等方面。
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.