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Showing 7 open source projects for "repository"
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GNNPCSAFT
Smart Thermodynamic Modeling with Graph Neural Networks
...In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. To install the GNNPCSAFT app, download the appropriate latest release from the Files. More info on github repository. -
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GNNPCSAFT Web App
Smart Thermodynamic Modeling with Graph Neural Networks
...In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. More info on github repository. -
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PoseidonQ - AI/ML Based QSAR Modeling
ML based QSAR Modelling And Translation of Model to Deployable WebApps
- This Software was made with an intention to make QSAR/QSPR development more efficient and reproducible. - Published in ACS, Journal of Chemical Information and Modeling . Link : https://pubs.acs.org/doi/10.1021/acs.jcim.4c02372 - Simple to use and no compromise on essential features necessary to make reliable QSAR models. - From Generating Reliable ML Based QSAR Models to Developing Your Own QSAR WebApp. For any feedback or queries, contact kabeermuzammil614@gmail.com - Available on... -
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Stochastic simulator for signaling pathways occuring in biological cells. Handles reaction-diffusion processes in 3D tetrahedral meshes. Please check our new repository: https://github.com/CNS-OIST/STEPS
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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IMPORTANT! As of version 1.2, cclib development has moved to github. Please use the flowing pages for up-to-date information about cclib: Repository (source code, tracker) - https://github.com/cclib/cclib Online documentation - http://cclib.github.io/ cclib is an open source library, written in Python, for parsing and interpreting the results of computational chemistry packages. It currently parses output files from ADF, Firefly, GAMESS, GAMESS-UK, Gaussian, Jaguar and ORCA.
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--UPDATE-- New Version is now integrated in the official PyMOL plugin repository! --UPDATE-- The BNI (Beyond Normal Interaction)- Tools is a plug in for the PyMOL molecular visualization system which adds additional functionalities and presets to the PyMOL GUI and also adds useful extended commands.
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A repository of Python extension scripts for use with the Sparky (http://www.cgl.ucsf.edu/home/sparky) NMR assignment package. No packaged releases yet, but there are scripts in the Sourceforge CVS@ http://sparkyscripts.cvs.sourceforge.net/sparkyscripts
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