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microsoft/onnxruntime

Repository: microsoft/onnxruntime Stars: 21561 Forks: 4152 Primary language: C++ Discovery sources: trending:daily Selection score: 81.66 Usefulness score: 9.7 Source confidence score: 3.5 Languages: C++, Python, C, Cuda, C#, Assembly Topics: ai-framework, deep-learning, hardware-acceleration, machine-learning, neural-networks, onnx, pytorch, scikit-learn, tensorflow Summary: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator README excerpt: <p align="center"><img width="50%" src="docs/images/ONNX_Runtime_logo_dark.png" /></p> **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 &rarr;](https://www.onnxruntime.ai/docs/#onnx-runtime-for-inferencing) **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 &rarr;](https://www.onnxruntime.ai/docs/#onnx-runtime-for-training) ## Get Started & Resources * **General Information**: [onnxruntime.ai](https://onnxruntime.ai) * **Usage documentation and tutorials**: [onnxruntime.ai/docs](https://onnxruntime.ai/docs) * **YouTube video tutorials**: [youtube.com/@ONNXRuntime](https://www.youtube.com/@ONNXRuntime) * [**Upcoming Release Roadmap**](https://onnxruntime.ai/roadmap) * **Companion sample repositories**: - ONNX Runtime Inferencing: [microsoft/onnxruntime-inference-examples](https://github.com/microsoft/onnxruntime-inference-examples) - ONNX Runtime Training: [microsoft/onnxruntime-training-examples](https://github.com/m

Computing & Technology, Computer Science, Machine Learning