Idaho National Laboratory Unsupported
- 15 followers
- Idaho Falls, ID, USA
- https://inl.gov/
- td@inl.gov
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inl-azure-devops-tasks
inl-azure-devops-tasks Public archiveContains pipeline tasks for Azure DevOps
TypeScript 5
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COREII_Platform
COREII_Platform Public archiveCOREII is a modular cybersecurity research platform that integrates AI, ML, large language models, and advanced analytics to collect, analyze, and correlate data. Running on Kubernetes with open-so…
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agn201_Digital_Twin
agn201_Digital_Twin Public archiveThis is the repository for all code related to the AGN-201 Nuclear Reactor Digital Twin at Idaho State University. The goal of this code repository is to consolidate all pieces required to run the …
Repositories
- weather-water-power-forecast Public
The software maintains a continuously updated U.S. archive of weather, water flow, and electricity demand forecasts. Daily snapshots preserve forecasts up to seven days ahead, enabling backtesting, forecast evaluation, trend analysis, and energy-water system research.
- GEMS Public
GEMS is a system dynamics model built in Stella Architect that simulates global interactions between the energy transition and critical material demand from 2015 to 2050. Users can run scenarios across six modules to evaluate how renewable deployment affects the energy mix, material and rare earth element requirements, emissions, and system costs.
- CRPYT Public
CRPYT is a standalone Python/Windows application for estimating neutron activation products, gamma emissions, dose-related outputs, and detector spectra. It supports irradiation modeling, spectrum generation and export, validation outputs, and element-set optimization.
- GREASPY Public
GREASPY provides Python tools and a Windows executable for GREASE/GREASPY spectrum calculations and generation of PeakEasy-compatible .spe files. It supports deterministic, randomized, and batch spectrum generation using a packaged, validated runtime data catalog.
- PAR-FIT Public
PAR-FIT is a Python library that evaluates the reliability of individual machine learning predictions in real time. It combines particle filtering and Sequential Probability Ratio Testing to assess prediction confidence based on training data proximity, density, and anomaly detection for low-latency applications.
- DAIRIEES Public archive
The DAIRIEES model provides a way to estimate greenhouse gas emissions reduction and costs associated with implementing our integrated manure treatment system.
- LEAF Public archive
Estimates the loss of soil, carbon, and nutrients to the atmosphere, to the groundwater, and to runoff.
- LinuxSA Public archive
Collection of Linux scripts and libraries to aid in common administration tasks and automation. Scripts are for LDAP, nagios, ansible, automatic emailing, license managers, and supporting functions
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