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onnxruntime_npu

https://github.com/sedie1234/onnxruntime_npu

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    Found .zenodo.json file
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  • ○
    Scientific vocabulary similarity
    Low similarity (9.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: sedie1234
  • License: mit
  • Language: C++
  • Default Branch: main
  • Size: 245 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License Citation Codeowners Roadmap

README.md

ONNX Runtime is a cross-platform inference and training machine-learning accelerator.

ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. Learn more →

ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. Learn more →

Get Started

General Information: onnxruntime.ai

Usage documention and tutorials: onnxruntime.ai/docs

Companion sample repositories: - ONNX Runtime Inferencing: microsoft/onnxruntime-inference-examples - ONNX Runtime Training: microsoft/onnxruntime-training-examples

Build Pipeline Status

|System|CPU|GPU|EPs| |---|---|---|---| |Windows|Build Status|Build Status|Build Status| |Linux|Build Status
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Data/Telemetry

Windows distributions of this project may collect usage data and send it to Microsoft to help improve our products and services. See the privacy statement for more details.

Contributions and Feedback

We welcome contributions! Please see the contribution guidelines.

For feature requests or bug reports, please file a GitHub Issue.

For general discussion or questions, please use GitHub Discussions.

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

License

This project is licensed under the MIT License.

Owner

  • Login: sedie1234
  • Kind: user

GitHub Events

Total
  • Push event: 1
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Last Year
  • Push event: 1
  • Create event: 3

Dependencies

cmake/external/flatbuffers/rust/flatbuffers/Cargo.toml cargo
cmake/external/flatbuffers/tests/rust_usage_test/Cargo.toml cargo
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cmake/external/flatbuffers/swift/FlatBuffers.podspec cocoapods
cmake/external/protobuf/Protobuf-C++.podspec cocoapods
cmake/external/protobuf/Protobuf.podspec cocoapods
cmake/external/emsdk/docker/Dockerfile docker
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cmake/external/onnxruntime-extensions/docker/onnx_ort_ext/Dockerfile docker
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cmake/external/protobuf/kokoro/linux/32-bit/Dockerfile docker
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cmake/external/protobuf/kokoro/linux/64-bit/Dockerfile docker
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cmake/external/protobuf/kokoro/linux/aarch64/testimage_protobuf_php_arm64v8/Dockerfile docker
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cmake/external/protobuf/kokoro/linux/dockerfile/test/cpp_tcmalloc/Dockerfile docker
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cmake/external/protobuf/kokoro/linux/dockerfile/test/csharp/Dockerfile docker
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cmake/external/protobuf/kokoro/linux/dockerfile/test/java_stretch/Dockerfile docker
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cmake/external/protobuf/kokoro/linux/dockerfile/test/javascript/Dockerfile docker
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cmake/external/protobuf/kokoro/linux/dockerfile/test/python35/Dockerfile docker
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