Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network (by ashishpatel26)
torchlens
Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code. (by johnmarktaylor91)
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| Tools-to-Design-or-Visualize-Architecture-of-Neural-Network | torchlens | |
|---|---|---|
| 2 | 5 | |
| 4,038 | 348 | |
| - | - | |
| 0.0 | 8.6 | |
| 3 months ago | 22 days ago | |
| Python | ||
| - | GNU General Public License v3.0 only |
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.
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Posts with mentions or reviews of Tools-to-Design-or-Visualize-Architecture-of-Neural-Network.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-31.
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Programs to create model architectures schemes
I can recommend this repo it offers a lot of visualization methods for neural networks.
- How can we visualise convolution operations like below? Generally is there any tool to create custom visualisation for matrix operations?
torchlens
Posts with mentions or reviews of torchlens.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-31.
- Looking for guidance with CNN output shape calculations
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[Project] I just released an open-source package, TorchLens, that can extract the activations/metadata from any PyTorch model, and visualize its structure, in just one line of code. I hope it helps you out!
GitHub Repo Twitter Thread Paper CoLab Tutorial Gallery of Model Visuals
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Programs to create model architectures schemes
Somebody on here built TorchLens to do something similar
- I made an open-source Python package, TorchLens, that can visualize the structure of any PyTorch model and extract any intermediate activations you want in one line of code.
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I made a package, TorchLens, that can visualize the structure of any PyTorch model and extract any intermediate activations you want in one line of code.
You can check it out here if you're curious. You just give it any PyTorch model (no changes necessary) and an input to the model, and it spits out a data structure with a complete log of the model's forward pass (including all saved activations and a bunch of metadata about the model), and an automatic visualization showing the structure of the model. I hope it helps people out—I'm still actively developing it so lemme know if you've got any wishlist items that could make it more useful!
What are some alternatives?
When comparing Tools-to-Design-or-Visualize-Architecture-of-Neural-Network and torchlens you can also consider the following projects:
manim - Animation engine for explanatory math videos
netron - Visualizer for neural network, deep learning and machine learning models
pytorch2keras - PyTorch to Keras model convertor
awesome-semantic-segmentation - :metal: awesome-semantic-segmentation
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network vs manim
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network vs netron
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network vs pytorch2keras
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network vs awesome-semantic-segmentation