Github url

netron

by lutzroeder

lutzroeder /netron

Visualizer for neural network, deep learning and machine learning models

10.2K Stars 1.2K Forks Last release: 6 days ago (v4.3.8) MIT License 3.2K Commits 2 Releases

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

Netron supports ONNX (

.onnx

,

.pb

,

.pbtxt

), Keras (

.h5

,

.keras

), Core ML (

.mlmodel

), Caffe (

.caffemodel

,

.prototxt

), Caffe2 (

predict\_net.pb

), Darknet (

.cfg

), MXNet (

.model

,

-symbol.json

), Barracuda (

.nn

), ncnn (

.param

), Tengine (

.tmfile

), TNN (

.tnnproto

), UFF (

.uff

) and TensorFlow Lite (

.tflite

).

Netron has experimental support for TorchScript (

.pt

,

.pth

), PyTorch (

.pt

,

.pth

), Torch (

.t7

), Arm NN (

.armnn

), BigDL (

.bigdl

,

.model

), Chainer (

.npz

,

.h5

), CNTK (

.model

,

.cntk

), Deeplearning4j (

.zip

), MediaPipe (

.pbtxt

), ML.NET (

.zip

), MNN (

.mnn

), PaddlePaddle (

.zip

,

\_\_model\_\_

), OpenVINO (

.xml

), scikit-learn (

.pkl

), TensorFlow.js (

model.json

,

.pb

) and TensorFlow (

.pb

,

.meta

,

.pbtxt

,

.ckpt

,

.index

).

Install

macOS: Download the

.dmg

file or run

brew cask install netron

Linux: Download the

.AppImage

file or run

snap install netron

Windows: Download the

.exe

installer or run

winget install netron

Browser: Start the browser version.

Python Server: Run

pip install netron

and

netron [FILE]

or

import netron; netron.start('[FILE]')

.

Models

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

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