onnxmltools | ONNXMLTools enables conversion of models to ONNX | Machine Learning library

by onnx Python Version: 1.12.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | onnxmltools Summary

onnxmltools is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. onnxmltools has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install onnxmltools' or download it from GitHub, PyPI.

ONNXMLTools enables you to convert models from different machine learning toolkits into ONNX. Currently the following toolkits are supported:. Pytorch has its builtin ONNX exporter check here for details.

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Quality

Security

License

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Support

onnxmltools has a medium active ecosystem.

It has 782 star(s) with 171 fork(s). There are 43 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 107 open issues and 147 have been closed. On average issues are closed in 110 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of onnxmltools is 1.12.0

Quality

onnxmltools has 0 bugs and 0 code smells.

Security

onnxmltools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

onnxmltools code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

onnxmltools is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

onnxmltools releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

onnxmltools saves you 5619 person hours of effort in developing the same functionality from scratch.

It has 13330 lines of code, 605 functions and 271 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed onnxmltools and discovered the below as its top functions. This is intended to give you an instant insight into onnxmltools implemented functionality, and help decide if they suit your requirements.

Convert a bidirectional LSTM LSTM
Extract information about the rnn activation
Adds a node
Convert an unidirectional LSTM operator into an LSTM LSTM object
Convert a lightgbm model
Parse a single node
Parse a tree structure
Create a node id from the pool
Convert a GRU operator into a GRU tensor
Build a mapping of names to namespaces
Convert a pooling layer
Create a legacy padding operator
Convert KMeansModel to KMeansModel
Convert a single RNNX RNN operator into a single RNN
Convert an ONNX TreeEnsembleModel into a Python object
Convert a GLM classifier
Convert Spark - naive Bayes
Convert a supported support vector classifier
Generate a visualization of a given model
Convert a keras model
Convert a convolution operator into a container
Convert an operator
Convert a tensor to onnx
Convert a Multilayer PerceptronClassifier to a model
Convert a CountVectorizerModel to a TensorVectorizerNode
Convert inner product

Get all kandi verified functions for this library.

onnxmltools Key Features

No Key Features are available at this moment for onnxmltools.

onnxmltools Examples and Code Snippets

No Code Snippets are available at this moment for onnxmltools.

Community Discussions

Trending Discussions on onnxmltools

Read custom metadata from onnx model in C#

QUESTION

Read custom metadata from onnx model in C#

Asked 2020-Aug-13 at 21:20

When creating an InferenceSession in my C# application I want to access the custom metadata from the .onnx model.

I populate the model with metadata in python:

...

ANSWER

Answered 2020-Aug-13 at 21:20

Thanks for opening an issue in Github as well to track. I have it on my list. I ll try and get this into the next release.

Source https://stackoverflow.com/questions/62993451

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install onnxmltools

You can install latest release of ONNXMLTools from PyPi:.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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