netron
PlotNeuralNet
Our great sponsors
netron | PlotNeuralNet | |
---|---|---|
32 | 14 | |
25,963 | 20,996 | |
- | - | |
9.9 | 0.0 | |
6 days ago | 8 months ago | |
JavaScript | TeX | |
MIT License | MIT License |
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
- Visualizer for neural network, deep learning and machine learning models
- Netron: Visualizer for Machine Learning Models
-
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
-
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
-
Visualize PyTorch Models with NNViz
How is this different from e.g Netron https://github.com/lutzroeder/netron
-
[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?
- FLaNK Stack for 15 May 2023
PlotNeuralNet
-
[D] Tools for drawing/visualising Neural Networks that are pretty?
I guess it depends on what your use-case is. How about https://github.com/HarisIqbal88/PlotNeuralNet
-
Will knowing LaTeX come in handy later?
Right now I am writing an assignment in LaTEX. Look at this beauty, https://github.com/HarisIqbal88/PlotNeuralNet
- software and tools to create beautiful images for academic conference and journals
- [D] request | Network architecture visualization tool
- Latex code for drawing neural networks for reports and presentation
- PlotNeuralNet: Use LaTex for making neural networks diagrams
- GitHub - HarisIqbal88/PlotNeuralNet: Latex code for making neural networks diagrams
- [D] Best tool for drawing U-Net style diagrams?
-
Tool for drawing deep neural nets?
You can try LaTeX, there are some pretty nice libs like https://github.com/HarisIqbal88/PlotNeuralNet.
- PlotNeuralNet: Latex code for making neural networks diagrams
What are some alternatives?
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.
keras-sequential-ascii - ASCII summary for simple sequential models in Keras
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
pgfplots - pgfplots - A TeX package to draw normal and/or logarithmic plots directly in TeX in two and three dimensions with a user-friendly interface and pgfplotstable - a TeX package to round and format numerical tables. Examples in manuals and/or on web site.
models - Models and examples built with TensorFlow
TikZ - Complete collection of my PGF/TikZ figures.
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
awesome-deep-learning-music - List of articles related to deep learning applied to music
onnx-tensorflow - Tensorflow Backend for ONNX
innvestigate - A toolbox to iNNvestigate neural networks' predictions!
Synaptic.js - architecture-free neural network library for node.js and the browser
draw_convnet