Netron

Overview: Netron is an open-source visualization tool designed to help users explore neural network, deep learning, and machine learning models interactively. It offers support for numerous model formats including ONNX, TensorFlow Lite, Core ML, Keras, and many others. With its user-friendly interface and extensive format support, Netron is the go-to solution for visualizing machine learning models.

Netron

Visualizer for neural network, deep learning and machine learning models.

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Key Features

• Wide Format Support: Netron provides compatibility with a variety of machine learning model formats such as ONNX, TensorFlow Lite, Core ML, Keras, Caffe.
• User-Friendly Interface: Users can easily navigate through complex model architectures with an intuitive UI.
• Cross-Platform: Available on macOS, Linux, Windows and also as a browser version.
• Installation Convenience: Simple installation process using package managers like Homebrew or pip.
• Community-Driven: An active community contributing to its development on GitHub.
• No Installation Required: The browser version allows users to view models without any setup.
• Sample Models: Comes with a set of sample models that users can quickly load and explore.
• Frequent Updates: Regularly updated by contributors to support the latest model formats and features.

Netron Screenshots

Suggested Developer Use Cases

• Model Inspection: Low-code developers can use Netron to visually inspect client-provided models to understand their architecture without delving into code.
• Educational Tool: As a teaching aid to demonstrate various model structures in training sessions or workshops.
• Integration into Analysis Workflows: Embedding Netron within existing tools to provide enhanced visualization capabilities for models being developed or analyzed.