Open Source Ecosystems

Netron is a viewer for neural network, deep learning and machine learning models.

Netron supports ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, PyTorch, TensorFlow.js, Safetensors and NumPy.

Netron has experimental support for TorchScript, TensorFlow, MXNet, OpenVINO, RKNN, ML.NET, ncnn, MNN, PaddlePaddle, GGUF and scikit-learn.

Install

macOS: Download the .dmg file or run brew install --cask netron

Linux: Download the .AppImage file or run snap install netron

Windows: Download the .exe installer or run winget install -s winget netron

Browser: Start the browser version.

Python: Run pip install netron and netron [FILE] or netron.start('[FILE]').

Sample model files to download or open using the browser version:

Package Rankings

Top 7.13% on Proxy.golang.org

Top 1.12% on Pypi.org

Implement a few key architectures for image classification by using neural network

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

High level network definitions with pre-trained weights in TensorFlow

Deep learning gateway on Raspberry Pi and other edge devices

TensorFlow, TensorFlow-Lite Pytorch, Torchvision, TensorRT Benchmarks

A collection of computer vision pre-trained models.

Sandbox for training deep learning networks

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g...

ncnn is a high-performance neural network inference framework optimized for the mobile platform