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openvino
OpenVINOâ„¢ is an open-source toolkit for optimizing and deploying AI inferenceopen_model_zoo
Pre-trained Deep Learning models and demos (high quality and extremely fast)anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINOâ„¢nncf
Neural Network Compression Framework for enhanced OpenVINOâ„¢ inferencemodel_server
A scalable inference server for models optimized with OpenVINOâ„¢datumaro
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.openvino_tensorflow
OpenVINOâ„¢ integration with TensorFlowopenvino_contrib
Repository for OpenVINO's extra modulesawesome-openvino
A curated list of OpenVINO based AI projectsgeti-sdk
Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.openvino.genai
Run Generative AI models using native OpenVINO C++ APIdocker_ci
The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINOâ„¢ toolkit.training_toolbox_caffe
Training Toolbox for Caffeworkbench
npu_plugin
OpenVINO NPU Pluginmodel_api
security_addon
OpenVINOâ„¢ Security Add-on to control access to inferencing models.model_analyzer
Model Analyzer is the Network Statistic Information tooloperator
OpenVINO operator for OpenShift and Kubernetesopenvino_tokenizers
OpenVINO Tokenizers extensionworkbench_aux
OpenVINOâ„¢ Toolkit - Deep Learning Workbench repository Auxuliary Assetshyper_parameter_optimization
Python library of automatic hyper-parameter optimizationmlas
openvino_docs
OpenVINOâ„¢ Toolkit documentation repositorynpu_plugin_btc
MLPerf
cpu_extensions
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