keras-onnx vs keras2cpp

keras-onnx

Convert tf.keras/Keras models to ONNX (by onnx)

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keras2cpp

This is a bunch of code to port Keras neural network model into pure C++. (by pplonski)

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keras-onnx		keras2cpp
	Project
2	Mentions	3
329	Stars	675
-	Growth	-
4.4	Activity	10.0
over 2 years ago	Latest Commit	about 4 years ago
Python	Language	C++
Apache License 2.0	License	MIT License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

keras-onnx

Posts with mentions or reviews of keras-onnx. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-30.

Deep learning classification with C++
3 projects | /r/MLQuestions | 30 Mar 2022
[P] [D]How to get TensorFlow model to run on Jetson Nano?
4 projects | /r/MachineLearning | 2 Jun 2021

Conversion was done from Keras Tensorflow using to ONNX https://github.com/onnx/keras-onnx followed by ONNX to TensorRT using https://github.com/onnx/onnx-tensorrt The Python code used for inference using TensorRT can be found at https://github.com/jonnor/modeld/blob/tensorrt/tensorrtutils.py

keras2cpp

Posts with mentions or reviews of keras2cpp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-12.

Way to convert keras based model to C++.
5 projects | /r/AskProgramming | 12 Feb 2023
Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD. r/circuitpython - Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD.
2 projects | /r/raspberry_pi | 4 Sep 2022
Deep learning classification with C++
3 projects | /r/MLQuestions | 30 Mar 2022

what about start with keras and convert model to c++ ? https://github.com/pplonski/keras2cpp https://github.com/serizba/cppflow

What are some alternatives?

When comparing keras-onnx and keras2cpp you can also consider the following projects:

onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX

cppflow - Run TensorFlow models in C++ without installation and without Bazel

RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

keras2c - A simple library to deploy Keras neural networks in pure C for realtime applications

MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.

pytorch2keras - PyTorch to Keras model convertor

keras2cpp - it's a small library for running trained Keras 2 models from a native C++ code.

modeld - Self driving car lane and path detection

server - The Triton Inference Server provides an optimized cloud and edge inferencing solution.