Artificial Intelligence

Eclipse Automated Driving Open Research (ADORe)

Eclipse ADORe provides a modular software library and toolkit for decision making, planning, control and simulation of automated vehicles. The project team is working on an all new release for ADORe

Eclipse Graphene

The goal of Eclipse Grapheneâ„¢ is to make AI and machine learning accessible to a wide audience by creating an extensible catalog of reusable solutions, sourced from a variety of AI toolkits and

Eclipse Repairnator

The goal of Repairnator is to be the reference open-source platform for automated repair. All kinds of repair are considered: test failure repair, compilation error repair, static warning repair, etc

Eclipse Aidge

The Eclipse Aidge platform is a comprehensive solution for fast and accurate Deep Neural Network (DNN) simulation and full and automated DNN-based applications building. The platform integrates

Eclipse Service Lifecycle Management

Eclipse Service Lifecycle Management (SLM) provides a set of applications to manage the lifecycle of AI (artificial intelligence) services in production environments. The service lifecycle consists of

Eclipse Autowrx

Eclipse Autowrx is the open source implementation of digital.auto (http://digital.auto), an industry-wide initiative enabling the automotive industry to establish a new, digital-first approach for the

Eclipse Deeplearning4j

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