ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Run machine learning models faster on various devices using this cross-platform tool.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
onnxruntime has 21.1k stars on GitHub. It has been forked 4.1k times. onnxruntime is written mainly in C++. It has been in active development since 2018. onnxruntime is available under the MIT license. Its main topics are ai-framework, deep-learning, hardware-acceleration, machine-learning.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
onnxruntime is an open-source project. It is released under the MIT license.
Yes. onnxruntime is free and open source — you can use, modify and self-host it.
onnxruntime is available under the MIT license.
onnxruntime is written mainly in C++.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/microsoft-onnxruntime.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.