open-edge-platform

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel® XPU (CUDA also supported).

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Deep Learning Streamer (DL Streamer) Pipeline Framework is an open-source streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics...

⚠️ Legacy repository for Geti v2.x. For Geti v3.0+, visit https://github.com/open-edge-platform/geti

Libraries, microservices, tools, and other reference software, supporting development of performance-optimized Edge AI applications.

Physical AI Studio is an end-to-end framework for training robots to perform tasks through imitation learning from human demonstrations.

A curated collection of sample applications intended for reference in developing optimized AI solutions and testing hardware performance across various industry use cases.

⚠️ [Deprecated] SDK for the Geti™ platform (v2.x only)

A comprehensive solution designed to streamline and enhance the deployment and management of infrastructure and applications at the edge

Run Computer Vision AI models with simple Python API and using OpenVINO Runtime

The Edge Microvisor Toolkit is a streamlined container host that showcases Intel® silicon optimizations. Built on the Azure Linux distribution, it features a Linux kernel maintained by Intel,...

Developer kits reference setup scripts for various kinds of Intel platforms and GPUs

Multimodal object tracking and scene analytics for highly actionable, real-world contextualized data