ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Alternatives To Onnxruntime
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Onnxruntime10,41985918 hours ago34June 16, 20232,041mitC++
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Tvm10,330319 hours ago1February 23, 2021764apache-2.0Python
Open deep learning compiler stack for cpu, gpu and specialized accelerators
2 days ago1July 07, 202135apache-2.0Python
QKeras: a quantization deep learning library for Tensorflow Keras
a day ago194otherC++
Livermore Big Artificial Neural Network Toolkit
Knowledge Extraction Recipes Forms194
2 months ago2mitJupyter Notebook
Knowledge Extraction For Forms Accelerators & Examples
Tvm Vta170
9 months ago2apache-2.0Scala
Open, Modular, Deep Learning Accelerator
Ai Serving141
17 days ago4apache-2.0Scala
Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints
Learning Nvdla Notes117
5 years ago17
NVDLA is an Open source DL/ML accelerator, which is very suitable for individuals or college students. This is the NOTES when I learn and try. Hope THIS PAGE may Helps you a bit. Contact Me:[email protected]
7 months ago3bsd-3-clauseCSS
Course Webpage for CS 217 Hardware Accelerators for Machine Learning, Stanford University
Arrayfire Ml88
5 years ago20bsd-3-clauseC++
ArrayFire's Machine Learning Library.
Alternatives To Onnxruntime
Select To Compare

Alternative Project Comparisons

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

Builtin Pipeline Status

System Inference Training
Windows Build Status
Build Status
Build Status
Linux Build Status
Build Status
Build Status
Build Status
Build Status
Build Status
Build Status
Build Status
Mac Build Status
Android Build Status
iOS Build Status
Web Build Status
Other Build Status
Build Status

Third-party Pipeline Status

System Inference Training
Linux Build Status


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 [email protected] with any additional questions or comments.


This project is licensed under the MIT License.

Popular Accelerator Projects
Popular Machine Learning Projects
Popular Software Performance Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
C Plus Plus
Machine Learning
Deep Learning
Neural Network
Scikit Learn