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- OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
- An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
- Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
- 📚 Jupyter notebook tutorials for OpenVINO™
- A scalable inference server for models optimized with OpenVINO™
- Pre-trained Deep Learning models and demos (high quality and extremely fast)
- OpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Models
- Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
- Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
mediapipe
Publicmodel_analyzer
PublicModel Analyzer is the Network Statistic Information tool- Neural Network Compression Framework for enhanced OpenVINO™ inference
cpu_extensions
Public archivedocker_ci
PublicThe framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.telemetry
Publicnpu_plugin
Public- Repository for OpenVINO's extra modules
operator
PublicOpenVINO operator for OpenShift and Kubernetes.github
Publicshl
Publicgoogletest
Publicnpu_plugin_elf
Publicopenvino_tensorflow
Public archive