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- A scalable inference server for models optimized with OpenVINO™
- 📚 Jupyter notebook tutorials for OpenVINO™
- Neural Network Compression Framework for enhanced OpenVINO™ inference
- Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
- OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
model_api
Publicdatumaro
PublicDataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.mlas
Public archivegeti-sdk
PublicSoftware Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.mediapipe
Publicnpu_plugin_elf
Publicanomalib
PublicAn anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.- Pre-trained Deep Learning models and demos (high quality and extremely fast)
telemetry
Publictestdata
Publicopenvino_contrib
PublicRepository for OpenVINO's extra modules- The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.
operator
PublicOpenVINO operator for OpenShift and Kubernetessd-webui-openvino
Publicnpu_plugin_btc
Public archivesecurity_addon
Public archiveMLPerf
Public archive- OpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Models