keras-onnx
MMdnn
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| keras-onnx | MMdnn | |
|---|---|---|
| 2 | 3 | |
| 329 | 5,780 | |
| - | 0.2% | |
| 4.4 | 0.0 | |
| over 2 years ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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keras-onnx
- Deep learning classification with C++
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[P] [D]How to get TensorFlow model to run on Jetson Nano?
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
MMdnn
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[R] Importing TensorFlow neural networks stored as *.h5
The only way I found online is to convert the *.h5 files to MXNet files using Microsoft model management of deep neural networks (link)
- [D] Tools for converting TF code to Pytorch
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Apple’s New M1 Chip is a Machine Learning Beast
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.
What are some alternatives?
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!
redisai-examples - RedisAI showcase
pytorch2keras - PyTorch to Keras model convertor
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
keras2cpp - This is a bunch of code to port Keras neural network model into pure C++.
torchinfo - View model summaries in PyTorch!
cppflow - Run TensorFlow models in C++ without installation and without Bazel
keras-ncp - PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
modeld - Self driving car lane and path detection
coremltools - Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.