MMdnn VS keras-onnx

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

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. (by microsoft)

keras-onnx

Convert tf.keras/Keras models to ONNX (by onnx)
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MMdnn keras-onnx
3 2
5,774 329
0.1% -
0.0 4.4
6 months ago over 2 years ago
Python Python
MIT License 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.
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.

MMdnn

Posts with mentions or reviews of MMdnn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-25.
  • Appleā€™s New M1 Chip is a Machine Learning Beast
    6 projects | /r/apple | 25 Dec 2020
    Yes. But that's missing the point. Almost everything in the space uses a framework other than Core ML. Therefore most people need good development support for PyTorch/Tensorflow etc., not Core ML. The fact that Apple has a tool to import/convert models is nice, but not relevant. Also, there is onnx as an exchange format between the frameworks, and tools like MMdnn and others.

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.

What are some alternatives?

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

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

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

coremltools - Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

redisai-examples - RedisAI showcase

keras-ncp - PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

torchinfo - View model summaries in PyTorch!

pytorch2keras - PyTorch to Keras model convertor

tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.

deepo - Setup and customize deep learning environment in seconds.

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