Search Results for "github"
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17 projects for "github" with 2 filters applied:
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Award-Winning Medical Office Software Designed for Your SpecialtyRXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
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The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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Surya
Implementation of the Surya Foundation Model for Heliophysics
Surya is an open‑source, AI‑based foundation model for heliophysics developed collaboratively by NASA (via the IMPACT AI team) and IBM. Named after the Sanskrit word for “sun,” Surya is trained on nine years of high‑resolution solar imagery from NASA’s Solar Dynamics Observatory (SDO). It is designed to forecast solar phenomena—such as flares, solar wind, irradiance, and active region behavior—by predicting future solar images with a sophisticated long–short vision transformer architecture,... -
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...Historically, the inability to effectively model and evaluate smart grid technologies has been a barrier to adoption; GridLAB-D is designed to address this problem. User documentation can be found at: http://gridlab-d.shoutwiki.com/wiki/Quick_links The source code is available from GitHub. See https://github.com/gridlab-d/gridlab-d. Issue tracking is handled by GitHub. See https://github.com/gridlab-d/gridlab-d/issues.
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Tcl/Tk support for the EPICS control system along with EPICS aware megawidgets. Note that as of September 27, 2023, development and new releases of this project will occur on github. See: https://github.com/FRIBDAQ/EpicsTcl
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As of 2020, this project has moved. See https://mesastar.org. Release versions can be found on Zenodo at https://doi.org/10.5281/zenodo.2602941. The code is now hosted on GitHub at https://github.com/MESAHub/mesa. You can find the documentation at https://docs.mesastar.org/.
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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JPIV
Particle Image Velocimetry
JPIV is a platform independent, graphical stand-alone application for Particle Image Velocimetry (PIV) written in Java. PIV is an optical technique for measuring fluid flow velocities. JPIV moved to GitHub. Please visit us at: https://eguvep.github.io/jpiv/ -
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orbkit (Moved to Github)
A Modular Python Toolbox for Cross-Platform Post-Processing of Quantum
PLEASE NOTE ORBKIT HAS BEEN MOVED TO https://github.com/orbkit/orbkit orbkit is a parallel Python program package for post-processing wave function data extracted from output files of MOLPRO (Molden File Format), TURBOMOLE (AOMix file format), GAMESS-US, PROAIMS/AIMPAC (wfn/wfx file format), and Gaussian (Output File and Formatted Checkpoint File) output files. Futhermore, an interface to cclib, a parser for quantum chemical logfiles, is provided. If you use orbkit in your work,... -
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OPar
OPen ARchitecture PARallel PARticle code
NOTICE: The current version of OPar is hosted on GitHub https://github.com/holgerschmitz/Opar This repository on Sourceforge is no longer maintained! OPar is an open architecture Particle-In-Cell (PIC) code for plasma simulations. The code is based on the Schnek framework. -
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**we moved to github** https://github.com/gimli-org/gimli Geophysical Inversion and Modeling Library
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The Ground Station Software Suite projects aims at providing free, useful software tools for ham radio operators. Currently, this projects hosts the Grig communication radio control. The source repository has been moved over to github.
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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Muninn
A software package for estimating generalized ensemble weights in Mark
We have moved to GitHub: https://github.com/muninnorg/muninn As of July 2015 we have moved to GitHub. The SourceForge page will preserved, with the old releases. Muninn is a software package for estimating generalized ensemble weights in Markov chain Monte Carlo (MCMC) simulations. The method is full automated and makes use of the generalized multihistogram (GMH) equations for estimation the density of states [1]. -
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Raysect Python Raytracing Framework
A raytracing framework for optical/non-optical physics simulations
This project has migrated to github: https://github.com/raysect -
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NanoTrackJ
NanoTrackJ - Size characterization of freely diffusing nanoparticles
NanoTrackJ moved to GitHub! Please see: https://github.com/thorstenwagner/ij-nanotrackj or http://fiji.sc/NanoTrackJ -
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LNLS-MML
MML and AT files for LNLS UVX and Sirius Rings - Moved to GitHub
MML and AT files for LNLS UVX and Sirius Rings - Moved to GitHub -
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fit2dcorr
SAXS 2D > 1D data reduction software, wrapper for Fit2D
The project's repository has moved to github. Please use the repository at https://github.com/Niels-Bohr-Institute-XNS-StructBiophys/fit2dcorr for the new updated versions. The old version is kept at sourceforge. Keywords: fit2d SAXS azimuthal averaging batch processing absolute units (exposure time, transmission, sample thickness) error bars C++ Unix OpenMP -
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(We have migrated this project to github [June 1 2015)] http://github.com/msg-byu/enumlib). The source files have been removed from sourceforge. Go to github (link above) for the latest copy. <<<< OLD SUMMARY >>>> A Fortran 95 implementation of an algorithm for generating derivative structures of a parent lattice. The algorithm is discussed in detail in: Gus L.
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Robotic Manipulator Development and Simulation Environment in Python and Blender. IMPORTANT: Development moved to github. http://github.com/ajnsit/r2d3
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