Name: Pacific Northwest National Laboratory (Public)
Type: Organization
Bio: This Org is intended for the hosting of approved released PNNL software repositories for public use and collaboration.
Location: United States of America
Blog: http://www.pnnl.gov/
Pacific Northwest National Laboratory (Public)'s Projects
Python library for analyzing the internal structure of deep neural networks.
Differentiable predictive control (DPC) policy optimization examples.
Open source data set for radio frequency machine learning research
DM-Sim: Quantum Simulator on GPU Cluster using Density Matrix
Online documentation for the glmnetLRC package
Documentation for the rsed package
Documentation of the Smisc package
Fault Identification in Distribution Feeder with PV using CNN code
Distributed photovoltaics protection software toolkit
The DREAM tool is an optimization software that determines subsurface monitoring configurations which detect carbon dioxide (CO2) leakage in the least amount of time. DREAM reads ensembles of CO2 leakage scenarios and determines optimal monitoring locations and techniques to deploy based on user-identified constraints. These data result in well configurations with the highest potential to detect leakage and minimize aquifer degradation in the shortest amount of time. DREAM was developed as part of the National Risk Assessment Partnership.
A composer installer for Drupal.
Dynamic System Identification Toolbox - MATLAB-based scripts for reading phasor measurement data and performing some simple analysis and data extraction.
This project's goal is to develop a city-scale dynamic curb use simulation tool and an open-source curb management platform that address these unmet needs. Simulation and management capabilities will include dynamically and concurrently controlling price, number of spaces, allowed parking duration, time of sale or reservation, and curb space use type (e.g., dynamic curb space rezoning based on supply and demand). We will deliver a city-scale dynamic curb use simulation tool and an open-source curb management platform. Simulation and management capabilities will include dynamically and concurrently controlling price, number of spaces, allowed parking duration, time of sale or reservation, and curb space use type (e.g., dynamic curb space rezoning based on supply and demand). Curb management professionals will be able to simulate different curb use policies and incentives to determine how flexible and dynamic the curb can be in response to zoning, pricing, timing, availability, or other controls, to reduce congestion and improve energy efficiency. In addition, municipal partners will be able to use the curb space communications and control tool as an open-source prototype for deploying such a system. Transportation engineers will be able to incorporate simulation results into fundamental diagram parameterization that is sensitive to curb configuration; while these diagrams also form a core component to curb enhancements in the BEAM city-scale simulator. Lastly, industry partners will be able to use the communications and data pipelining utility to improve situational awareness at the curb, resulting less unnecessary congestion at the point of pick-up and drop-off
GrumPHP plugin that checks if files follow .editorconfig file rules.
EELSTM is a long short-term memory model for forecasting of electron energy loss spectroscopy.
Energy Operation Model
Software to evaluate power combinations of spectral power densities that land within a target chromaticity region