Netron

Visualizer for neural network and machine learning models.


Product Overview

Netron is a visualizer designed to help users understand and explore neural networks, deep learning, and machine learning models. With support for various formats such as ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, MXNet, PaddlePaddle, ncnn, MNN, and TensorFlow.js, Netron provides a unified platform for inspecting and analyzing these complex models.

Main Features

As described on the project's features page, Netron offers a range of features that enable users to gain insights into their machine learning models. While we don't have a comprehensive breakdown, here are some key highlights:

  • Model Visualization: Netron allows users to visualize their neural networks and deep learning models, making it easier to understand complex architectures.
  • Format Support: With support for multiple formats, Netron enables seamless compatibility with various model types.
  • Experimental Support: The project has experimental support for additional frameworks such as PyTorch, TorchScript, TensorFlow, OpenVINO, RKNN, MediaPipe, ML.NET, and scikit-learn.

Overall, Netron provides a powerful toolset for machine learning enthusiasts and professionals to explore, analyze, and optimize their models.

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Star history

Star history for Netron