Tensorflow Neural Network pytorch mxnet tensorflow-lite onnx caffe2 coreml paddle Python HTML Shell CSS darknet visualizer Artificial Intelligence deeplearning machinelearning ml JavaScript Keras caffe torch Deep learning Machine learning
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lutzroeder

Description

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

12.1K Stars 1.5K Forks MIT License 3.7K Commits 18 Opened issues

Services available

Need anything else?

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
netron.start('[FILE]')
.

Models

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

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