tf-explain
pytest-visual
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 |
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tf-explain
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What alternative for explainable AI besides LIME do we have for deep learning models on images (keras)?
Have look at tf-explain and why not shap Shap?
pytest-visual
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[P] Elevate Your ML Testing with pytest-visual
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?
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