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48 repositories
- OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
- 📚 Jupyter notebook tutorials for OpenVINO™
- Neural Network Compression Framework for enhanced OpenVINO™ inference
- A scalable inference server for models optimized with OpenVINO™
- Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
- An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
- Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
mediapipe
Publicopenvino_build_deploy
Public- Pre-trained Deep Learning models and demos (high quality and extremely fast)
datumaro
PublicDataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.telemetry
Publicdocker_ci
PublicThe framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.npu_plugin_btc
Public archiveawesome-openvino
Publictestdata
Publicopenvino_contrib
PublicRepository for OpenVINO's extra modulesnpu_plugin
Publicnpu_plugin_elf
Publicsecurity_addon
Public archiveMLPerf
Public archiveopenvino_xai
PublicOpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Modelsmodel_analyzer
PublicModel Analyzer is the Network Statistic Information toolcpu_extensions
Public archiveoperator
PublicOpenVINO operator for OpenShift and Kubernetes