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- A scalable inference server for models optimized with OpenVINO™
- Neural Network Compression Framework for enhanced OpenVINO™ inference
- OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
- Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
openvino.genai
Public- An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
- Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
openvino_build_deploy
Publicopenvino_notebooks
Public📚 Jupyter notebook tutorials for OpenVINO™awesome-openvino
Publicmediapipe
Publictelemetry
Publictestdata
Publicopenvino_contrib
PublicRepository for OpenVINO's extra modulesgeti-sdk
PublicSoftware Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.open_model_zoo
PublicPre-trained Deep Learning models and demos (high quality and extremely fast)npu_plugin
PubliconeDNN
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 archivedocker_ci
PublicThe framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.operator
PublicOpenVINO operator for OpenShift and Kubernetes.github
Public