pytest-visual VS torchview

Compare pytest-visual vs torchview and see what are their differences.

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pytest-visual torchview
1 2
16 709
- -
8.7 0.0
about 1 month ago 14 days ago
Python Python
MIT License MIT License
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.
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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.

pytest-visual

Posts with mentions or reviews of pytest-visual. We have used some of these posts to build our list of alternatives and similar projects.
  • [P] Elevate Your ML Testing with pytest-visual
    1 project | /r/MachineLearning | 27 Oct 2023
    I’ve developed a tool called pytest-visual, aiming to make ML code testing more efficient and meaningful. Traditional unit testing often misses visual and functional aspects of ML workflows such as data augmentation and model structures.

torchview

Posts with mentions or reviews of torchview. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-25.
  • NNViz can visualize any pytorch model
    2 projects | /r/pytorch | 25 Feb 2023
    The only exception I found is Torchview, but I was unaware of its existence until recently, since both NNViz and Torchview were created roughly 3 months ago. Torchview is really cool, has some unique and interesting features and seems pretty well done, you should try it.
  • Package for visualizing pytorch models
    2 projects | /r/pytorch | 14 Nov 2022
    If you wanted to checkout the repo for the project, see here

What are some alternatives?

When comparing pytest-visual and torchview you can also consider the following projects:

chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

dvclive - 📈 Log and track ML metrics, parameters, models with Git and/or DVC

ManimML - ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

nannyml - nannyml: post-deployment data science in python

pytorch-symbolic - Provides symbolic API for model creation in PyTorch.

tfgraphviz - A visualization tool to show a TensorFlow's graph like TensorBoard

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

receptive_field_analysis_toolbox - A toolbox for receptive field analysis and visualizing neural network architectures

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.