onnx-tensorflow
pytorch2keras
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| onnx-tensorflow | pytorch2keras | |
|---|---|---|
| 6 | 2 | |
| 1,237 | 846 | |
| 1.2% | - | |
| 0.0 | 0.0 | |
| about 1 month ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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onnx-tensorflow
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How to Solve "BackendIsNotSupposedToImplementIt: Unsqueeze version 13 is not implemented."?
How to solve this? I found below github issue which they solved i think, but im not to able to find the solution https://github.com/onnx/onnx-tensorflow/pull/1022
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[D] Library to transfer PyTorch to TF
Okay, maybe it worked some years ago. The issue currently is that the trainable weights get lost...which is by design https://github.com/onnx/onnx-tensorflow/issues/1002
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Has anyone successfully converted an onnx model to tensorflow? Here's the problems I'm having...
TLDR: I'm using onnx-tf to convert an onnx model to tensorflow. During the conversion I lose important information such as inputs, outputs and the names of operators. Please read on if you have experience with this library or you've experienced similar issues. :)
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Portability of Rust in 2021
We had a few small issues with ONNX. Export worked but when running with e.g. tflite stumbled for example across this https://github.com/onnx/onnx-tensorflow/issues/853 Also the support for sampling from distributions is generally still pretty weak, but we were able to work around that.
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[D] How to reduce latency of DL models
https://pytorch.org/tutorials/advanced/super\_resolution\_with\_onnxruntime.html https://github.com/onnx/onnx-tensorflow
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Possible to retrain onnx model?
https://github.com/onnx/onnx-tensorflow Haven’t tried it, let me know if it works.
pytorch2keras
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Help Needed: Converting PlantNet-300k Pretrained Model Weights from Tar to h5 Format Help
It's almost certainly a pickled pytorch model so you will first need to load it using pytorch and then write it out to h5 (legacy keras format) with https://github.com/gmalivenko/pytorch2keras.
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Is Pytorch good deployment wise?
But of course, you can always train a model with one framework and run inference with another. For instance, pytorch2keras does exactly this.
What are some alternatives?
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
NudeNet - Neural Nets for Nudity Detection and Censoring
netron - Visualizer for neural network, deep learning and machine learning models
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
guesslang - Detect the programming language of a source code
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
models - Models and examples built with TensorFlow
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch