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Type: User
Company: US Geological Survey
Type: User
Company: US Geological Survey
National Fish Mercury Model final version
hello world jupyter + mybinder
Bayesian Geostatistical Version of PEST
Bayes Nets for Glass
2 prms models for east and west forks of the upper Carson River
documentation for the CIDA_EMU project
This is a compilation of docker images that follow the SPEC pattern.
Cross_validation metrics for Bayesian Networks in Netica
Tools for downloading hydrologic and climate data.
Docker image for building apitrace for CentOS 6 / RHEL 6
make nice figures for USGS reports
Here, Research Computing will put presentations in final form for distribution to attendees in our tutorials.
A Python package to create, run, and post-process MODFLOW-based models.
test of fuzzy love
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.
Notebooks for workflows to accompany 30th Anniversary of Freyberg's classic 1988 Groundwater paper
Applied Groundwater Model Calibration and Uncertainty Analysis Class
Python Tool for HiCap Well Impacts
Hello world trivial toy example for working with HTCondor on Linux
c. Classroom collaboration to explore best algorithmic strategies in the IPD
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.