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Name: Brioch Hemmings
Type: User
Name: Brioch Hemmings
Type: User
A Python package to create, run, and post-process MODFLOW-based models.
In order to assist modellers in setting up and using model-partner software in ways that support the decision-support imperatives of data assimilation and uncertainty quantification, GMDSI is developing a series of tutorials.
Provides spatial tools to translate raster or vector polygon data to regular grids
A Jupyter - Leaflet.js bridge
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Some pytough processing scripts
python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)
python-wrapped PEST utilities #winning
A Python library for automating TOUGH2 simulations of subsurface fluid and heat flow
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.