onnx-tensorflow
Tensorflow Backend for ONNX (by onnx)
MNIST-on-the-web
Recognize Handwritten Digits using Deep Learning on the browser itself. (by harjyotbagga)
| onnx-tensorflow | MNIST-on-the-web | |
|---|---|---|
| 6 | 1 | |
| 1,236 | 7 | |
| 0.6% | - | |
| 0.0 | 4.1 | |
| about 1 month ago | almost 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | - |
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.
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.
onnx-tensorflow
Posts with mentions or reviews of onnx-tensorflow.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-27.
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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.
MNIST-on-the-web
Posts with mentions or reviews of MNIST-on-the-web.
We have used some of these posts to build our list of alternatives
and similar projects.
-
MNIST on the web! [Running PyTorch from the browser]
So I decided to implement the very famous MNIST dataset model using PyTorch & help make predictions on the client side. You can check my project here: https://github.com/harjyotbagga/MNIST-on-the-web or it's implementation here: https://bugz-mnist.herokuapp.com/
What are some alternatives?
When comparing onnx-tensorflow and MNIST-on-the-web you can also consider the following projects:
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
netron - Visualizer for neural network, deep learning and machine learning models
pytorch2keras - PyTorch to Keras model convertor
tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
guesslang - Detect the programming language of a source code
models - Models and examples built with TensorFlow
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
models - A collection of pre-trained, state-of-the-art models in the ONNX format
jni-rs - Rust bindings to the Java Native Interface — JNI
com-rs - **DEPRECATED** in favor of github.com/microsoft/windows-rs
onnx-tensorflow vs onnxruntime
MNIST-on-the-web vs yolov5
onnx-tensorflow vs netron
MNIST-on-the-web vs pytorch2keras
onnx-tensorflow vs tokenizers
onnx-tensorflow vs guesslang
onnx-tensorflow vs models
onnx-tensorflow vs pytorch2keras
onnx-tensorflow vs yolo-tf2
onnx-tensorflow vs models
onnx-tensorflow vs jni-rs
onnx-tensorflow vs com-rs