netron
onnx-tensorflow
Our great sponsors
| netron | onnx-tensorflow | |
|---|---|---|
| 32 | 6 | |
| 25,963 | 1,232 | |
| - | 0.8% | |
| 9.9 | 0.0 | |
| 3 days ago | 19 days ago | |
| JavaScript | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
netron
-
Exploring Open-Source Alternatives to Landing AI for Robust MLOps
In exploring open-source projects, I've come across several promising tools capable of managing deep-learning models for images. Significantly, tools such as NETRON provide visualization of neural networks, while SHAP can be used for evaluating the significance of outputs.
-
Operationalize TensorFlow Models With ML.NET
We need to find out the exact input and output tensor names. A tool like Netron makes this super easy. Open the original .tflite and/or the ONNX model in Netron and click the Model Properties button in the lower left corner.
-
Visualize PyTorch Models with NNViz
How is this different from e.g Netron https://github.com/lutzroeder/netron
- FLaNK Stack for 15 May 2023
- ChatGPT creates mostly insecure code, but won't tell you unless you ask
-
[D] Tools for drawing/visualising Neural Networks that are pretty?
This looks like it could be pretty cool: https://github.com/lutzroeder/netron
-
yolov7-pose: What does the output layers of an exported onnx model mean?
Export complete (11.20s). Visualize with https://github.com/lutzroeder/netron."
-
Text generation with GPT-2 in Ruby
Put gpt2-lm-head-10.onnx in the same directory as the script. You can browse the content of ONNX models using NETRON.
-
YOLOv7 object detection in Ruby in 10 minutes
Browser: Start the browser version.
View on GitHub
onnx-tensorflow
-
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. :)
-
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.
What are some alternatives?
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
openpilot - openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
models - Models and examples built with TensorFlow
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
PlotNeuralNet - Latex code for making neural networks diagrams
tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
guesslang - Detect the programming language of a source code
Synaptic.js - architecture-free neural network library for node.js and the browser
aws-mlu-explain - Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
pytorch2keras - PyTorch to Keras model convertor