numo-narray
netron
| numo-narray | netron | |
|---|---|---|
| 3 | 37 | |
| 405 | 26,355 | |
| 0.0% | - | |
| 2.3 | 9.9 | |
| about 1 month ago | 4 days ago | |
| C | JavaScript | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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numo-narray
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UMAP clustering in Ruby
There are two ways to write Ruby extensions in C++. One is Rice and the other is extpp. In this case, I used Rice because I wanted to use numo.hpp to link Numo::NArray and C++.
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Text generation with GPT-2 in Ruby
numo-narray - Ruby matrix library. Equivalent to NumPy.
- Why is ruby so fvcking great?
netron
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Your 14-Day Free Trial Ain't Gonna Cut It
They're data-dependence graphs for a neural-network scheduling problem. Like this but way bigger to start with and then lowered to more detailed representations several times: https://netron.app/?url=https://github.com/onnx/models/raw/m... My home-grown layout engine can handle the 12k nodes for llama2 in its highest-level form in 20s or so, but its not the most featureful, and they only get bigger from there. So I always have an eye out for potential tools.
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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.
What are some alternatives?
umappp - UMAP C++ implementation
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.
numo.hpp - C++ header for Numo and Rice
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
uwot - An R package implementing the UMAP dimensionality reduction method.
models - Models and examples built with TensorFlow
onnxruntime-ruby - Run ONNX models in Ruby
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
models - A collection of pre-trained, state-of-the-art models in the ONNX format
PlotNeuralNet - Latex code for making neural networks diagrams
ruby_decorators - Ruby method decorators inspired by Python.
onnx-tensorflow - Tensorflow Backend for ONNX