Netron
🔧 Toollutzroeder
Visualizer for neural network, deep learning, and machine learning models.
Netron is an open-source visualizer for neural network and machine learning models. It supports multiple model formats such as ONNX (.onnx, .ort), TensorFlow (.pb, .pbtxt), PyTorch (.pt, .pth), CoreML (.mlmodel), Keras (.h5), MXNet, Caffe, and many others. The viewer displays a high-level graph of the model with nodes representing layers or operations, and edges showing data flow. Users can click on any node to see detailed attributes (e.g., kernel size, strides, activation functions). Netron is built with JavaScript (using Electron for the desktop version) and also runs as a web app. It handles large models efficiently and offers features like search, zoom, and export of visualization as images. With over 33,000 stars on GitHub, it is a trusted tool in the deep learning community.
💡Highlights
- ├─Supports 10+ model formats
- ├─Interactive graph visualization
- └─33k+ GitHub stars
🎯For
- ├─Machine Learning Engineers
- ├─Data Scientists
- └─AI Researchers
🔗Links
- └─GitHub