pytest-visual
tf-explain
pytest-visual | tf-explain | |
---|---|---|
1 | 1 | |
16 | 1,007 | |
- | 0.0% | |
8.7 | 0.0 | |
about 1 month ago | almost 2 years ago | |
Python | Python | |
MIT License | MIT License |
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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.
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?
What are some alternatives?
chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
CleanTF2plus - Clean TF2's sequel
torchview - torchview: visualize pytorch models
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
dvclive - 📈 Log and track ML metrics, parameters, models with Git and/or DVC
jarconfig - combined scripts for tf2
nannyml - nannyml: post-deployment data science in python
nhcustom - nhcustom is a program whose purpose is to modify the Team Fortress 2 mod "no-hats-bgum".
tfgraphviz - A visualization tool to show a TensorFlow's graph like TensorBoard
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.
receptive_field_analysis_toolbox - A toolbox for receptive field analysis and visualizing neural network architectures