onnxcustom: deploy, train machine learned models¶

https://circleci.com/gh/sdpython/onnxcustom/tree/master.svg?style=svg Build status Build Status Windows https://codecov.io/gh/sdpython/onnxcustom/branch/master/graph/badge.svg https://badge.fury.io/py/onnxcustom.svg GitHub Issues MIT License Downloads Forks Stars size

Examples, tutorial on how to convert machine learned models into ONNX, implement your own converter or runtime, or even train with ONNX, onnxruntime. This package is used to write documentation in an early stage it is moved to over documentation website. Some of the tutorials has been merged into sklearn-onnx documentation. Among the tools this package implements, you may find:

Contents

Sources are available on github/onnxcustom. Package is available on pypi, pyquickhelper: automation of many things, and a blog for unclassified topics blog.

Modules

Functions

Classes

Methods

Static Methods

Properties

Module Index

Short examples

Search Page

License

Changes

pyquickhelper: automation of many things

Index

FAQ

Notebooks Gallery

Magic commands

Statistics on code

Unit Test Coverage