zendnn-onnxruntime
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
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○Scientific vocabulary similarity
Low similarity (9.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: amd
- License: mit
- Language: C++
- Default Branch: main
- Size: 1.05 GB
Statistics
- Stars: 11
- Watchers: 5
- Forks: 2
- Open Issues: 4
- Releases: 2
Metadata Files
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 & Resources
General Information: onnxruntime.ai
Usage documention and tutorials: onnxruntime.ai/docs
YouTube video tutorials: youtube.com/@ONNXRuntime
Companion sample repositories:
- ONNX Runtime Inferencing: microsoft/onnxruntime-inference-examples
- ONNX Runtime Training: microsoft/onnxruntime-training-examples
Builtin Pipeline Status
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Third-party Pipeline Status
|System|Inference|Training|
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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
- Name: AMD
- Login: amd
- Kind: organization
- Email: dl.DevSecOps-Github-Admin@amd.com
- Website: http://www.amd.com
- Repositories: 56
- Profile: https://github.com/amd
GitHub Events
Total
- Release event: 1
- Watch event: 4
- Fork event: 1
- Create event: 3
Last Year
- Release event: 1
- Watch event: 4
- Fork event: 1
- Create event: 3
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 2
- Total pull requests: 4
- Average time to close issues: 5 days
- Average time to close pull requests: 22 days
- Total issue authors: 2
- Total pull request authors: 1
- Average comments per issue: 3.0
- Average comments per pull request: 0.25
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 4
Past Year
- Issues: 2
- Pull requests: 0
- Average time to close issues: 5 days
- Average time to close pull requests: N/A
- Issue authors: 2
- Pull request authors: 0
- Average comments per issue: 3.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- aj-prime (1)
- lauthu (1)
Pull Request Authors
- dependabot[bot] (4)