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OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
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Latest capture 2026-07-16 03:04
5 captures since 2026-05-25
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Scanned 2026-07-16 03:04
CMakeLists.txt
c-cpp ecosystem,
1 dependency
conanfile.txt
c-cpp ecosystem,
3 dependencies
pyproject.toml
python ecosystem,
6 dependencies
setup.py
python ecosystem,
0 dependencies
vcpkg.json
c-cpp ecosystem,
5 dependencies
docs/CMakeLists.txt
c-cpp ecosystem,
2 dependencies
docs/requirements.txt
python ecosystem,
51 dependencies
licensing/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
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Pre-trained Deep Learning models and demos (high quality and extremely fast)
Open standard for machine learning interoperability
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.
🐍 Geometric Computer Vision Library for Spatial AI
Go ahead and axolotl questions
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
