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nishimaomaoxiong's Projects

ambrosia icon ambrosia

An R package for calculating and analyzing food demand and in accordance with the Edmonds et al food demand model

bayes-nn icon bayes-nn

Lecture notes on Bayesian deep learning

blog icon blog

Code associated with blog

ceds icon ceds

Community Emissions Data System (CEDS)

cge-tools icon cge-tools

Collection of Python analysis and visualization codes for CGE models and related data

dashboard icon dashboard

A collection of open source projects relevant for industrial ecology practitioners, hosted on GitHub and beyond

deap icon deap

Distributed Evolutionary Algorithms in Python

eco-valuator icon eco-valuator

QGIS Plugin for calculating ecosystem service values for a given area

enar icon enar

enaR = Ecological Network Analysis in R

ergm icon ergm

An implementation of the exponential random graph model

exiobase-v3.4 icon exiobase-v3.4

Here I share a series of codes I have written to process EXIOBASE v3.4.

felix-model icon felix-model

FeliX (Functional Enviro-economic Linkages Integrated neXus) is a system dynamics model of global social, economic, and environmental Earth systems.

gcam-china icon gcam-china

GCAM-China - The Global Change Analysis Model with China provincial-level details

ghgforcing icon ghgforcing

Python package to calculating forcing from continuous GHG emissions

global_nitrogen_assessment icon global_nitrogen_assessment

R code used to estimate nitrogen use indicators for "Nitrogen emissions in global livestock supply chains" paper

gvc icon gvc

Global Value Chain tools

highfrequency icon highfrequency

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

itnr icon itnr

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

ml-and-datascience-in-practice icon ml-and-datascience-in-practice

Concepts of Intelligence Artificial :brain:, Machine Learning :gear:, and Deep Learning :crystal_ball: EXPLAINED :seedling: in detail and put it into PRACTICE :deciduous_tree:.

mojo icon mojo

The system model frame work. Turning the raw data into into a computational structure.

mrio_computation_r icon mrio_computation_r

Compute environmental burden (B) utilizing an MRIO or other IO database. Requires custom Y consumption matrix.

one-python-craftsman icon one-python-craftsman

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。

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