Aidge

Location: Open Platform

In an era increasingly defined by intelligent systems at the edge, Eclipse Aidge emerges as a crucial open-source initiative to democratize the development and deployment of efficient Deep Neural Networks (DNN) on embedded platforms. Recognizing the unique constraints and opportunities of edge computing – limited resources, real-time requirements, and the need for robust, low-power AI – Aidge provides a comprehensive framework for addressing this complex task. By offering end-to-end tools for DNN design, analysis, simulation, optimization and hardware-aware deployment across diverse targets (CPUs, GPUs, MCUs), Aidge empowers developers to build sophisticated AI applications for IoT, robotics, automotive, and beyond. This project fosters innovation by enabling rapid prototyping, performance benchmarking, and the creation of tailored solutions, ultimately accelerating the adoption of intelligent edge devices while promoting interoperability, transparency and collaboration within the open-source ecosystem. Key features : - High interoperability with the ONNX standard (import and export of the DNN model) - Rich tools for static analysis of the DNN model - State-of-the-art quantization and compression techniques to reduce the memory needs - Standalone C++ code generation of the DNN Some planned features : - A certification-aware code generation module. - Integration of a scalable and efficient ML compilation tool chain based on MLIR or TVM - Extension of Spike Neural Networks to be the first multi-paradigm framework natively addressing neuromorphic computing. Eclipse Aidge is hosted on The Eclipse Foundation's GitLab instance.