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- OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
- A scalable inference server for models optimized with OpenVINO™
- 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.
datumaro
PublicDataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.- Neural Network Compression Framework for enhanced OpenVINO™ inference
- 📚 Jupyter notebook tutorials for OpenVINO™
- Pre-trained Deep Learning models and demos (high quality and extremely fast)
testdata
Publicopenvino_contrib
PublicRepository for OpenVINO's extra modulesgeti-sdk
PublicSoftware Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.oneDNN
Publicmediapipe
Publicawesome-openvino
Publicdocker_ci
PublicThe framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.npu_compiler
Publicoperator
PublicOpenVINO operator for OpenShift and Kubernetessd-webui-openvino
Publicnpu_plugin_btc
Public archivenpu_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