onnxruntime-ruby
netron
| onnxruntime-ruby | netron | |
|---|---|---|
| 2 | 33 | |
| 94 | 26,110 | |
| - | - | |
| 6.8 | 9.9 | |
| 2 months ago | 6 days ago | |
| Ruby | JavaScript | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
onnxruntime-ruby
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Text generation with GPT-2 in Ruby
The onnxruntime gem already contains binary files for each platform, so you don't need to install the ONNX runtime yourself. Just install the gem and it should work.
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YOLOv7 object detection in Ruby in 10 minutes
View on GitHub
netron
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What's the best PyTorch model visualization tool?
Netron seems to be the best that I've seen so far. https://github.com/lutzroeder/netron
- Visualizer for neural network, deep learning and machine learning models
- Netron: Visualizer for Machine Learning Models
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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.
- Netron is a viewer for neural network, deep learning and machine learning models
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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.
- Netron: A viewer for neural network, deep learning and machine learning models
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Visualize PyTorch Models with NNViz
How is this different from e.g Netron https://github.com/lutzroeder/netron
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[P]Visualizing a neural network.
Netron (https://netron.app/) is the best and mostly used NN visualizer. Just save your model and then simply load it via netron to look its layers and weights. If you want a more complex visualization then you can also play with Zetane ( but its paid, also have a free version) engine.
- How do I visualize this NN Architecture?
What are some alternatives?
ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.
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.
models - A collection of pre-trained, state-of-the-art models in the ONNX format
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
numo-narray - Ruby/Numo::NArray - New NArray class library
models - Models and examples built with TensorFlow
LibUI - A portable GUI library for Ruby
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
RMagick - Ruby bindings for ImageMagick
PlotNeuralNet - Latex code for making neural networks diagrams
blingfire-ruby - High speed text tokenization for Ruby
onnx-tensorflow - Tensorflow Backend for ONNX