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ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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dependabot[bot] bd189d56ad
Bump decode-uri-component from 0.2.0 to 0.2.2 in /js/react_native (#13846) 
Bumps
[decode-uri-component](https://github.com/SamVerschueren/decode-uri-component)
from 0.2.0 to 0.2.2.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/SamVerschueren/decode-uri-component/releases">decode-uri-component's
releases</a>.</em></p>
<blockquote>
<h2>v0.2.2</h2>
<ul>
<li>Prevent overwriting previously decoded tokens  980e0bf</li>
</ul>
<p><a
href="https://github.com/SamVerschueren/decode-uri-component/compare/v0.2.1...v0.2.2">https://github.com/SamVerschueren/decode-uri-component/compare/v0.2.1...v0.2.2</a></p>
<h2>v0.2.1</h2>
<ul>
<li>Switch to GitHub workflows  76abc93</li>
<li>Fix issue where decode throws - fixes <a
href="https://github-redirect.dependabot.com/SamVerschueren/decode-uri-component/issues/6">#6</a>
746ca5d</li>
<li>Update license (<a
href="https://github-redirect.dependabot.com/SamVerschueren/decode-uri-component/issues/1">#1</a>)
486d7e2</li>
<li>Tidelift tasks  a650457</li>
<li>Meta tweaks  66e1c28</li>
</ul>
<p><a
href="https://github.com/SamVerschueren/decode-uri-component/compare/v0.2.0...v0.2.1">https://github.com/SamVerschueren/decode-uri-component/compare/v0.2.0...v0.2.1</a></p>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="a0eea469d2"><code>a0eea46</code></a>
0.2.2</li>
<li><a
href="980e0bf09b"><code>980e0bf</code></a>
Prevent overwriting previously decoded tokens</li>
<li><a
href="3c8a373dd4"><code>3c8a373</code></a>
0.2.1</li>
<li><a
href="76abc93978"><code>76abc93</code></a>
Switch to GitHub workflows</li>
<li><a
href="746ca5dcb6"><code>746ca5d</code></a>
Fix issue where decode throws - fixes <a
href="https://github-redirect.dependabot.com/SamVerschueren/decode-uri-component/issues/6">#6</a></li>
<li><a
href="486d7e26d3"><code>486d7e2</code></a>
Update license (<a
href="https://github-redirect.dependabot.com/SamVerschueren/decode-uri-component/issues/1">#1</a>)</li>
<li><a
href="a65045724e"><code>a650457</code></a>
Tidelift tasks</li>
<li><a
href="66e1c2834c"><code>66e1c28</code></a>
Meta tweaks</li>
<li>See full diff in <a
href="https://github.com/SamVerschueren/decode-uri-component/compare/v0.2.0...v0.2.2">compare
view</a></li>
</ul>
</details>
<br />


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2022-12-12 11:28:04 -08:00
.config Update tsaoptions.json: update the email alias (#13448) 2022-10-26 15:56:16 -07:00
.devcontainer Remove two lines in the Dockerfile for Github Codespace (#12278) 2022-07-21 20:52:17 -07:00
.gdn
.github Add Google Analytics to python apidocs (#13901) 2022-12-09 15:44:12 -08:00
.pipelines [DML EP] Upgrade DML to 1.10.0 (#13796) 2022-11-30 21:32:14 -08:00
.vscode cpplint & Eager mode: refactor and add comments to empty_* functions, general lint cleanup in ort_aten (#12238) 2022-07-20 11:47:57 -04:00
cgmanifests Use onnxruntime_fetchcontent_makeavailable cmake function for TRT (#13918) 2022-12-12 11:27:46 -08:00
cmake Use onnxruntime_fetchcontent_makeavailable cmake function for TRT (#13918) 2022-12-12 11:27:46 -08:00
csharp fix typos in training apis (#13908) 2022-12-09 16:01:11 -08:00
dockerfiles Upgrade cmake version to 3.24 (#13569) 2022-11-04 22:58:51 -07:00
docs Add support for other data types to Split CPU kernel. (#13900) 2022-12-12 09:29:15 -08:00
include/onnxruntime/core Enabling thread pool to be numa-aware (#13778) 2022-12-12 10:33:55 -08:00
java [java] Sparse tensor support (#10653) 2022-11-22 10:29:24 -08:00
js Bump decode-uri-component from 0.2.0 to 0.2.2 in /js/react_native (#13846) 2022-12-12 11:28:04 -08:00
objectivec Remove SafeInt dependency from Objective-C API. (#13698) 2022-11-18 17:06:12 -08:00
onnxruntime Enabling thread pool to be numa-aware (#13778) 2022-12-12 10:33:55 -08:00
orttraining fix typos in training apis (#13908) 2022-12-09 16:01:11 -08:00
package/rpm Bumping up version number to 1.14.0 on main branch (#13401) 2022-10-21 19:16:44 -04:00
samples Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
tools Output cache stats (#13937) 2022-12-12 15:22:13 +08:00
winml Enabling thread pool to be numa-aware (#13778) 2022-12-12 10:33:55 -08:00
.clang-format
.clang-tidy Create clang-tidy CI (#12653) 2022-09-30 08:05:38 -07:00
.dockerignore
.flake8 Remove miscellaneous nuphar configs (#13070) 2022-09-26 13:41:28 -07:00
.gitattributes
.gitignore Ignore settings.json in git (#12988) 2022-09-19 12:05:43 -07:00
.gitmodules Remove unused git submodules (#13830) 2022-12-07 21:59:16 -08:00
build.amd64.1411.bat
build.bat
build.sh
CITATION.cff Fix CITATION.cff and add automatic validation of your citation metadata (#10478) 2022-04-13 10:03:52 -07:00
CODEOWNERS Add cgmanifest file in codeowner list (#13042) 2022-09-22 18:58:01 -07:00
CONTRIBUTING.md minor improvements to CONTRIBUTING doc (#11080) 2022-04-12 15:22:34 -07:00
lgtm.yml Fix lgtm C++ error (#13613) 2022-11-10 10:06:22 -08:00
LICENSE
NuGet.config
ort.wprp
ORT_icon_for_light_bg.png
packages.config [DML EP] Upgrade DML to 1.10.0 (#13796) 2022-11-30 21:32:14 -08:00
pyproject.toml Update pylint config to include valid short names (#13631) 2022-11-14 10:00:25 -08:00
README.md Update resource section in readme (#13724) 2022-11-28 09:42:31 -08:00
requirements-dev.txt Introduce parameterized as a dev dependency (#11364) 2022-04-26 17:24:39 -07:00
requirements-doc.txt
requirements-training.txt Remove protobuf pin from training requirements (#13695) 2022-11-22 12:27:18 -08:00
requirements.txt.in Add additional python requirements (#11522) 2022-05-20 16:16:18 -07:00
SECURITY.md Microsoft mandatory file (#11619) 2022-05-25 13:56:10 -07:00
setup.py Enable ORT in TorchDynamo (#13259) 2022-11-01 11:19:29 -07:00
ThirdPartyNotices.txt Use updated ONNX license in ThirdPartyNotices.txt. (#13919) 2022-12-09 17:46:37 -08:00
VERSION_NUMBER Bumping up version number to 1.14.0 on main branch (#13401) 2022-10-21 19:16:44 -04:00

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

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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.