keras-onnx VS modeld

Compare keras-onnx vs modeld and see what are their differences.

keras-onnx

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

modeld

Self driving car lane and path detection (by jonnor)
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keras-onnx modeld
2 1
329 0
- -
4.4 0.0
over 2 years ago almost 3 years ago
Python
Apache License 2.0 -
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.
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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.

modeld

Posts with mentions or reviews of modeld. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-02.
  • [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

What are some alternatives?

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

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

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

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

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.

pytorch2keras - PyTorch to Keras model convertor

keras2cpp - This is a bunch of code to port Keras neural network model into pure C++.

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