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ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Latest capture 2026-07-16 03:03
5 captures since 2026-05-25
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Scanned 2026-07-16 03:03
pyproject.toml
python ecosystem,
3 dependencies
requirements-dev.txt
python ecosystem,
19 dependencies
requirements-doc.txt
python ecosystem,
3 dependencies
requirements-lintrunner.txt
python ecosystem,
4 dependencies
requirements-training.txt
python ecosystem,
9 dependencies
requirements.txt
python ecosystem,
4 dependencies
setup.py
python ecosystem,
0 dependencies
packages.config
dotnet ecosystem,
0 dependencies
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Open standard for machine learning interoperability
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
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.
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
