Proposals
The goal of Eclipse Deeplearning4j is to provide a core set of components for building applications that incorporate AI. AI products within an enterprise often have a wider scope than just machine learning. The overall goal of a distribution is to provide smart defaults for building deep learning applications.
We define a machine learning product lifecycle as:
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Securely connecting to enterprise environments via Kerberos™ and other auth protocols with the purpose of:
Picasso is a free open-source (Eclipse Public License) web application written in Python for rendering standard visualizations useful for training convolutional neural networks. Picasso ships with occlusion maps and saliency maps, two visualizations which help reveal issues that evaluation metrics like loss and accuracy might hide: for example, learning a proxy classification task. Picasso works with the Keras and Tensorflow deep learning frameworks. Picasso can be used with minimal configuration by deep learning researchers and engineers alike across various neural network architectures.
Eclipse Duttile looks at the world of the Internet of Things in a holistic manner, suggesting an approach in which the various elements are part of a single integrated process. It proposes a new cross-domain methodology that aims to provide adequate tools for the governance of the IoT projects, building the experience gained until now, in a jointly and reasoned way. The core approaches became from the world of software and hardware development, both different but always complementary.
This project aims to provide a middleware for industrial automation which realizes Industrie 4.0 concepts using existing technologies like OPC-UA and oneM2M. One essential element of this middleware is a virtual function bus which abstracts from underlying network technologies, similar to the approach chosen in AUTOSAR. Another essential part of BaSyx will be an implementation of the asset administration shell concept that allows access to every information relevant to an asset, as well as access to the asset itself.
Hybrid classical-quantum computing paradigms are posed to benefit the scientific applications that are ubiquitous within the scientific computing research community, including modeling and simulation of quantum many-body systems, applied math, and data analytics. However, developing quantum-classical hybrids that integrate quantum algorithmic statements alongside conventional programming models is an outstanding technical challenge.
The digital logbook is the main source of information in the central network control unit (CNCU) for the manual logging of events and operations which are not recorded automatically in the control system. In addition to the use for the structured transfer of information during the change of shifts, the company's digital logbook is to be used as an expanded resource for the work organization in the CNCU and as an information medium for the well-directed transfer of information from supervisors to employees. The project technically bases on the openK Platform.
Eclipse Simulation of Urban Mobility (SUMO) is a free and open traffic simulation toolsuite. SUMO allows modelling and analyzing intermodal traffic systems, including road vehicles, public transport, cargo logistics and pedestrians. Included with SUMO is a wealth of supporting tools, which handle tasks like route finding, visualization, network import and emission calculation. SUMO can be enhanced with custom models and it provides various APIs to remotely control and influence the simulation.
The Eclipse RedDeer project is an extensible framework used for development of automated SWT/Eclipse tests which interacts with application’s user interface. RedDeer provides the PageObjects API for comfortable testing of standard SWT (Buttons, Trees..), JFace (UIForms), Workbench (Views, Editors, ..) and Eclipse (Wizards, Preferences,...) components and also allows creating and extending your own components. RedDeer also provides capabilities to work with graphical editors based on GEF or Graphiti.
It is the aim of the project to supply a rich set of TTCN-3 test suites and test cases for IoT technologies to enable developers in setting up a comprehensive test environment of their own, if needed from the beginning of a project. TTCN-3 has been defined and standardized by the European Telecommunication Standards Institute in ETSI ES 201873 and related extension packages. It is implemented and supported in Eclipse IoT by the Titan project.
Device-as-a-Service
IoT solutions have to interact with a heterogeneous set of device types, device protocols and communication patterns.