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