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.
Eclipse Service Lifecycle Management (SLM) provides a set of applications to manage the lifecycle of AI (artificial intelligence) services in production environments.
The goal of Eclipse Graphene™ is to make AI and machine learning accessible to a wide audience by creating an extensible marketplace of reusable solutions, sourced from a variety of AI toolkits and
Latest release: 1.1
Eclipse Kanto is a modular IoT edge software stack for devices that enables them for AIoT with all the essentials - cloud connectivity and digital twins, local messaging, container management and s
Eclipse ADORe provides a modular software library and toolkit for decision making, planning, control and simulation of automated vehicles.
Eclipse ADORe core components are:
Latest release: 0.3.2
The goal of Repairnator is to be the reference open-source platform for automated repair.
The goal of Eclipse Deeplearning4j is to provide a core set of components for building applications that incorporate AI.