tf-explain VS pytest-visual

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

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tf-explain pytest-visual
1 1
1,007 16
0.0% -
0.0 8.7
almost 2 years ago 29 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.
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.

tf-explain

Posts with mentions or reviews of tf-explain. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

CleanTF2plus - Clean TF2's sequel

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

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

torchview - torchview: visualize pytorch models

jarconfig - combined scripts for tf2

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

nhcustom - nhcustom is a program whose purpose is to modify the Team Fortress 2 mod "no-hats-bgum".

nannyml - nannyml: post-deployment data science in python

tfops-aug - TFOps-Aug: Implementation of policy-based image augmentation techniques based on TF2 Operations. All augmentations as efficient Tensorflow 2.11.0 operations. Easy integration into a tf.data API pipeline.

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

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