Metadata-Version: 2.1
Name: netron
Version: 4.1.9
Summary: Viewer for neural network, deep learning and machine learning models
Home-page: https://github.com/lutzroeder/netron
Author: Lutz Roeder
Author-email: lutzroeder@users.noreply.github.com
License: MIT
Keywords: onnx,keras,tensorflow,tflite,coreml,mxnet,caffe,caffe2,torchscript,pytorch,ncnn,mnnopenvino,darknet,paddlepaddle,chainer,artificial intelligence,machine learning,deep learning,neural network,visualizer,viewer
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
License-File: LICENSE

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

Netron supports **ONNX** (`.onnx`, `.pb`), **Keras** (`.h5`, `.keras`), **Core ML** (`.mlmodel`), **Caffe** (`.caffemodel`, `.prototxt`), **Caffe2** (`predict_net.pb`), **Darknet** (`.cfg`), **MXNet** (`.model`, `-symbol.json`), ncnn (`.param`) and **TensorFlow Lite** (`.tflite`). Netron has experimental support for **TorchScript** (`.pt`, `.pth`), **PyTorch** (`.pt`, `.pth`), **Torch** (`.t7`), **ArmNN** (`.armnn`), **Barracuda** (`.nn`), **BigDL** (`.bigdl`, `.model`), **Chainer** (`.npz`, `.h5`), **CNTK** (`.model`, `.cntk`), **Deeplearning4j** (`.zip`), **PaddlePaddle** (`__model__`), **MediaPipe** (`.pbtxt`), **ML.NET** (`.zip`), MNN (`.mnn`), **OpenVINO** (`.xml`), **scikit-learn** (`.pkl`), **Tengine** (`.tmfile`), **TensorFlow.js** (`model.json`, `.pb`) and **TensorFlow** (`.pb`, `.meta`, `.pbtxt`, `.ckpt`, `.index`).
