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AboutCode.org is a community of open source developers who are trying to make open source easier to use by providing open source tools to discover, identify and track open source components (aka. Software Composition Analysis – SCA). This includes tools, data and standards for code origin, FOSS licenses and security vulnerabilities.
Code for the book "Artificial Intelligence: A Modern Approach"
We are an Australian not-for-profit charity, founded in 2016, that serves as an umbrella organization for open-source projects. We believe the open-source philosophy is a resource-efficient approach to transfer knowledge, educate and innovate.
Open hardware computing for educators and makers
Toolkit for cancer imaging research
Analytical solutions for Next-Generation Sequencing data
We develop Biomedical and Clinical informatics applications
Amplifying Research Imapct through Open Source
Develop translational data science.
The SFT is part of CERN (European Organization for Nuclear Research).
CERN-HSF (High-Energy Physics Software Foundation) is the umbrella organization for high-energy physics-related projects in GSoC. The HEP Software Foundation (http://hepsoftwarefoundation.org/) facilitates the coordination of common international efforts in high-energy physics software and computing.
Community Health Analytics Open Source Software
Empowering Boston's residents through technology
NLP for the Ancient World
Computational Psycholinguistics
Building platforms for reproducible AI Research
Tool development in bioinformatics, computational biology, data visualization
Computer Vision Data Annotation Platform for AI
DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web. It allows for a global and unified access to Knowledge Graphs.
International network addressing threats to US environmental & energy policy
FOSSASIA is an organization developing Open Source software applications and Open Hardware together with a global community from its base in Asia. It is our goal to provide access to open technologies, science applications and knowledge that improve people's lives. We want to enable people to adapt and change technology according to their own ideas and needs and validate science and knowledge through an Open Access approach. FOSSASIA was established 2009 by Hong Phuc Dang and Mario Behling. We organize and participate in conferences, meetups and code camps. The annual FOSSASIA Summit is one of the top tech events in Asia. Other summits take place in Vietnam, Cambodia, Thailand and India. FOSSASIA also runs a number of coding programs such as Codeheat. Please join us and start contributing to our projects, participate as a coder, designer, hardware developer or event organizer.
Human transcription of family history data
EMBL-EBI is a global centre for biological data, developing and maintaining open data resources and open-source software that support life science research worldwide. Our services are used daily by researchers across academia, healthcare, and industry, and span genomics, transcriptomics, metagenomics, molecular interactions, chemistry, and functional annotation.
GeomScale is a research and development project that delivers open source code for state-of-the-art algorithms for problems at the intersection of data science, optimization, geometric, and statistical computing. The current focus of GeomScale is on scalable algorithms for sampling from high-dimensional distributions, integration, convex optimization, and their applications. One of our ambitions is to fill the gap between theory and practice by turning state-of-the-art theoretical tools in geometry and optimization to state-of-the-art implementations. Towards this goal, we will deliver various innovative solutions in a variety of application fields, like finance, computational biology, and statistics that will extend the limits of contemporary computational tools. GeomScale aims in serving as a building block for an international, interdisciplinary, and open community in high dimensional geometrical and statistical computing. The main development is currently performed in volesti, a generic open source C++ library, with R and python interfaces (the latter is hosted in package dingo), for high-dimensional sampling, volume approximation, and copula estimation for financial modelling. In particular, the current implementation scales up to hundred or thousand dimensions, depending on the problem. To our knowledge it is the most efficient software package for sampling and volume computation to date. It is, in several cases, orders of magnitude faster compared to packages that solve the same problems. It can be used to compute challenging multivariate integrals and to approximate optimal solutions in optimization problems. It has already found important applications in systems biology by analyzing large metabolic networks (e.g., the latest human network) and in FinTech by detecting shock events and by evaluating portfolios performance in stock markets with thousands of assets. Other application areas include AI and in particular approximate weighted model integration. Recent studies has shown a potential application of volesti methods in trustworthy AI, static analysis of programs and differential privacy.
Contributor counts are accepted projects per cycle.
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