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- Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
- 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.
- A scalable inference server for models optimized with OpenVINO™
training_extensions
PublicTrain, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™- 📚 Jupyter notebook tutorials for OpenVINO™
- Neural Network Compression Framework for enhanced OpenVINO™ inference
geti-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)oneDNN
Publicopenvino_build_deploy
Publicopenvino_xai
PublicOpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Modelsopenvino_testdrive
Publicmediapipe
Publictelemetry
Publictestdata
Public- Repository for OpenVINO's extra modules
- Model Analyzer is the Network Statistic Information tool
operator
PublicOpenVINO operator for OpenShift and Kubernetesfork-nncf
Public- The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.
npu_compiler
Publicawesome-openvino
Publicsd-webui-openvino
Publicnpu_plugin_btc
Public archive