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"Evaluating Digital Agriculture Recommendations with Causal Inference". It was accepted and presented in the special track on Artificial Intelligence for Social Impact, AAAI-23
Agent based model of Innovation Diffusion with a focus on the calibration algorithm
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.
Repo for the agriLOVE model
Data and code for 'Agroforestry And Reforestation With The Gold Standard - Decision Analysis of A Voluntary Carbon Offset Label' in Mitigation and Adaptation Strategies for Global Change
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Contains the tutorials for Arc I created for earlier iterations of my class Spatial Techniques in Empirical Economics
America's Water AWASH Model
An index of algorithms for learning causality with data
Agent-based computational economics (ACE)
Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.
This repository contain the `R` code related the the study "Bayesian Optimization for breeding"
R package that creates LaTex tables out of MCMC chains
An agent-based modeling tool supporting bioenergy and bio-product community communication regarding cellulosic bioeconomy development
This is the public code for the manuscript "Honey Bees, Almond, and colonies mortality: An Economic Simulation of the U.S. Pollination Market"
reservoir network optimization
Supporting material for “ Valuing the Global Mortality Consequences of Climate Change Accounting for Adaptation Costs and Benefits” (Carleton et al. 2022)
Supplementary Materials for 'Prioritizing certification interventions to improve climate change adaptation and mitigation outcomes - a case study for banana plantations'
This repository contains data and code accompanying a paper on "Closing the Gaps in Experimental and Observational Crop Response Estimates: A Bayesian Approach"
This repository contains the code, data and visualisation for the paper titled Modeling Intensification decision in Kilombero Valley Floodplain: A Bayesian Belief Network Approach.
CoMOLA is a generic python tool for Constrained Multi-objective Optimization of Land use Allocation.
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.