Bumps [electron](https://github.com/electron/electron) from 23.1.2 to 23.3.13. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/electron/electron/releases">electron's releases</a>.</em></p> <blockquote> <h2>electron v23.3.13</h2> <h1>Release Notes for v23.3.13</h1> <h2>End of Support for 23.x.y</h2> <p>Electron 23.x.y has reached end-of-support as per the project's <a href="https://www.electronjs.org/docs/latest/tutorial/electron-timelines#version-support-policy">support policy</a>. Developers and applications are encouraged to upgrade to a newer version of Electron.</p> <h2>electron v23.3.12</h2> <h1>Release Notes for v23.3.12</h1> <h2>Other Changes</h2> <ul> <li>Fixed a crash while screen sharing on Wayland with PipeWire. <a href="https://redirect.github.com/electron/electron/pull/39274">#39274</a></li> <li>Security: backported fix for CVE-2023-3732. <ul> <li>Security: backported fix for CVE-2023-3728.</li> <li>Security: backported fix for CVE-2023-3730. <a href="https://redirect.github.com/electron/electron/pull/39268">#39268</a></li> </ul> </li> </ul> <h2>electron v23.3.11</h2> <h1>Release Notes for v23.3.11</h1> <h2>Fixes</h2> <ul> <li>Fixed a crash when listing desktop capture sources on Wayland with PipeWire. <a href="https://redirect.github.com/electron/electron/pull/39116">#39116</a> <!-- raw HTML omitted -->(Also in <a href="https://redirect.github.com/electron/electron/pull/39050">24</a>, <a href="https://redirect.github.com/electron/electron/pull/39051">25</a>, <a href="https://redirect.github.com/electron/electron/pull/39049">26</a>)<!-- raw HTML omitted --></li> </ul> <h2>electron v23.3.10</h2> <h1>Release Notes for v23.3.10</h1> <h2>Other Changes</h2> <ul> <li>Security: backported fix for CVE-2023-3422. <ul> <li>Security: backported fix for CVE-2023-3421.</li> <li>Security: backported fix for CVE-2023-3420.</li> <li>Security: backported fix for 1454860. <a href="https://redirect.github.com/electron/electron/pull/38948">#38948</a></li> </ul> </li> </ul> <h2>electron v23.3.9</h2> <h1>Release Notes for v23.3.9</h1> <h2>Fixes</h2> <ul> <li>Fixed <code>preload</code> script may not run in some child windows opened by <code>window.open</code>. <a href="https://redirect.github.com/electron/electron/pull/38933">#38933</a> <!-- raw HTML omitted -->(Also in <a href="https://redirect.github.com/electron/electron/pull/38932">24</a>, <a href="https://redirect.github.com/electron/electron/pull/38931">25</a>, <a href="https://redirect.github.com/electron/electron/pull/38930">26</a>)<!-- raw HTML omitted --></li> <li>Fixed minimize button to be visible when all buttons reenabled. <a href="https://redirect.github.com/electron/electron/pull/38880">#38880</a> <!-- raw HTML omitted -->(Also in <a href="https://redirect.github.com/electron/electron/pull/38881">24</a>, <a href="https://redirect.github.com/electron/electron/pull/38879">25</a>)<!-- raw HTML omitted --></li> </ul> <h2>electron v23.3.8</h2> <h1>Release Notes for v23.3.8</h1> <h2>Other Changes</h2> <ul> <li>Security: backported fix for CVE-2023-3215. <ul> <li>Security: backported fix for CVE-2023-3216.</li> <li>Security: backported fix for 1450536. <a href="https://redirect.github.com/electron/electron/pull/38788">#38788</a></li> </ul> </li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href=" |
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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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General Information: onnxruntime.ai
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Usage documention and tutorials: onnxruntime.ai/docs
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YouTube video tutorials: youtube.com/@ONNXRuntime
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Companion sample repositories:
- ONNX Runtime Inferencing: microsoft/onnxruntime-inference-examples
- ONNX Runtime Training: microsoft/onnxruntime-training-examples
Builtin Pipeline Status
| System | Inference | Training |
|---|---|---|
| Windows | ||
| Linux | ||
| Mac | ||
| Android | ||
| iOS | ||
| Web | ||
| Other |
Third-party Pipeline Status
| System | Inference | Training |
|---|---|---|
| Linux |
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.