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ONNX with Python - ONNX 1.17.0 documentation
ONNX with Python¶ Next sections highlight the main functions used to build an ONNX graph with the Python API onnx offers. A simple example: a linear regression¶ The linear regression is the most simple model in machine learning described by the following expression \(Y = XA + B\).
ONNX Runtime | Home
Integrate the power of Generative AI and Large language Models (LLMs) in your apps and services with ONNX Runtime. No matter what language you develop in or what platform you need to run on, you can make use of state-of-the-art models for image synthesis, text generation, and more.
ONNX | Get Started
Get Started. Build Model. Build and train a machine learning model to meet your project goals using the tools that best meet your needs. Machine learning frameworks. Develop from scratch using the framework of your choice. Cloud services. Tools from our partners help you build your model and include both no code and code-first experiences.
onnx/onnx: Open standard for machine learning interoperability - GitHub
Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.
ONNX | About
ONNX provides a definition of an extensible computation graph model, as well as definitions of built-in operators and standard data types. Each computation dataflow graph is structured as a list of nodes that form an acyclic graph.
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