Search Results for "machine learning platform"
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Showing 6 open source projects for "machine learning platform"
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ChemCrow
Chemcrow
ChemCrow is an AI-powered framework designed to assist in chemical research and discovery. It integrates AI models with chemical knowledge bases to provide intelligent recommendations for synthesis planning, reaction prediction, and material discovery. This tool helps automate and accelerate research in computational chemistry and drug development. -
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GNNPCSAFT Web App
Smart Thermodynamic Modeling with Graph Neural Networks
The GNNPCSAFT Web App is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. 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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AMBIT:Chemical Structure DB&Web Service
Chemical structures database & machine learning with web services API
AMBIT offers a cheminformatics data management for chemical substances, structures and nanomaterials. Flexible structure, similarity and study queries storage, descriptor calculation and predictive models building via REST web services.User interface for creating read across assessment and generating reports, aligned with regulatory and industrial requirements. Command line applications also available. Integration with third party tools and databases. -
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jPeriodic
jPeriodic is a table of elements written in Java
...Additionaly jPeriodic offers a small temperature converter which is able to convert between Celcius and Kelvin. Because jPeriodic is coded in Java the software is platform-independent, meaning you can run jPeriodic on Windows, Mac OS, Linux and many other operating systems which are able to run a Java Virtual Machine. -
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ChemLearing is a lightweight, easy to use e-learning platform - for both the student as well as the teacher.
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