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- 📚 Jupyter notebook tutorials for OpenVINO™
- OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
- 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.
- A scalable inference server for models optimized with OpenVINO™
- OpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Models
- Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
- Neural Network Compression Framework for enhanced OpenVINO™ inference
- Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
openvino_tokenizers
Publicmodel_api
Publicmediapipe
Public- Pre-trained Deep Learning models and demos (high quality and extremely fast)
docker_ci
PublicThe framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.telemetry
PubliconeDNN
Publicnpu_plugin
Publicopenvino_contrib
PublicRepository for OpenVINO's extra modulesoperator
PublicOpenVINO operator for OpenShift and Kubernetestestdata
Public.github
Publicshl
Publicgoogletest
Publicnpu_plugin_elf
Publicmodel_analyzer
PublicModel Analyzer is the Network Statistic Information toolopenvino_tensorflow
Public archive