Metadata-Version: 2.1
Name: wnetron
Version: 5.8.1
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,mnn,openvino,darknet,paddlepaddle,chainer,artificial intelligence,machine learning,deep learning,neural network,visualizer,viewer
Platform: UNKNOWN
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, TensorFlow Lite, Keras, Caffe, Darknet, ncnn, MNN, PaddlePaddle, Core ML, MXNet, RKNN, MindSpore Lite, TNN, Barracuda, Tengine, TensorFlow.js, Caffe2 and UFF. Netron has experimental support for PyTorch, TensorFlow, TorchScript, OpenVINO, Torch, Vitis AI, Arm NN, BigDL, Chainer, CNTK, Deeplearning4j, MediaPipe, ML.NET and scikit-learn.

