OPEN SOURCE
genular is a community behind SIMON an open source Machine Learning KnowledgeDiscovery software, built by a vibrant community of people just like you! Join us and make SIMON even more cool!
VISUALIZE & ANALYZE
Exploratory analysis of machine learning results with help of many different visualization algorithms will give you instant insights into your questions
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How to get started?
Getting started is easy! Join our community and help us make science more open and better!
Join the genular Community
Join us on #genular on freenode.net Find us on Twitter under @genular or join us on forums
community forumsHelp with SIMON development!
Contribute code, make translations,
fix & report bugs, participate in development
Gather. Train. Predict.
SIMON runs on every linux server. Your own instance is only a few mouse clicks away!
get startedWHATS ALL THIS ABOUT?
SIMON is a powerful, flexible, open-source and easy to use knowledge discovery application. Currently SIMON implements machine learning and statistical data discovery features that will help you to easily illustrate dynamic relationships and provide you with a structural sense of your data.
CHECK OUT DEMO
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Project Maintainers
genular is created and supported by a open source community of users, developers and enthusiasts from around the globe.
We are always welcoming you to join us and make scientific software more accessible to scientists and users across the globe!
Ivan
LogIN
Project founder, system architecture. Backend and frontend design.
Adriana
atomic
Project founder, fixes & improvements all over the place, community
Latest news from us
Please find latest announcements in our blog below
Machine Learning and Optimal Control of Enzyme Activities to Preserve Solvent Capacity in the Cell
Experimental measurements or computational model predictions of the post-translational regulation of enzymes needed in a metabolic pathway is a difficult problem. Consequently, regulation is mostly known only for well-studied reactions[…]
Read morePotential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning
The fast and untraceable virus mutations take lives of thousands of people before the immune system can produce the inhibitory antibody. Recent outbreak of novel coronavirus infected and killed thousands[…]
Read more
Denoising large-scale biological data using network filters
Large-scale biological data sets, e.g., transcriptomic, proteomic, or ecological, are often contaminated by noise, which can impede accurate inferences about underlying processes. Such measurement noise can arise from endogenous biological[…]
Read more
