openvinotoolkit/openvino
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
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Pre-trained Deep Learning models and demos (high quality and extremely fast)
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Latest capture 2026-07-15 03:15
5 captures since 2026-05-25
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Scanned 2026-07-15 03:15
demos/CMakeLists.txt
c-cpp ecosystem,
4 dependencies
demos/requirements.txt
python ecosystem,
15 dependencies
tools/accuracy_checker/setup.cfg
python ecosystem,
0 dependencies
tools/accuracy_checker/setup.py
python ecosystem,
0 dependencies
tools/model_tools/pyproject.toml
python ecosystem,
2 dependencies
tools/model_tools/setup.cfg
python ecosystem,
0 dependencies
tools/model_tools/setup.py
python ecosystem,
0 dependencies
demos/background_subtraction_demo/cpp_gapi/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
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OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
No description.
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
ModelScope: bring the notion of Model-as-a-Service to life.
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The Open Cookbook for Top-Tier Code Large Language Model