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Top 8 interpretable-ml open source projects

Model interpretability and understanding for PyTorch

✭ 2,830

python CSS javascript typescript shell Batchfile interpretability feature-importance interpretable-ai interpretable-ml feature-attribution

Awesome Machine Learning Interpretability

A curated list of awesome machine learning interpretability resources.

✭ 2,404

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Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

✭ 1,700

python Jupyter Notebook HTML Cuda shell c C++deep-learning pytorch gan generative-adversarial-network image-manipulation interactive-visualizations interpretable-ml

Fit interpretable models. Explain blackbox machine learning.

diabetes use case

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

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Jupyter Notebook data-science machine-learning data-mining healthcare xgboost transparency interpretability interpretable-ml explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

✭ 57

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interpretable-ml

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

✭ 17

Jupyter Notebook data-science machine-learning data-mining gradient-boosting-machine transparency decision-trees fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

✭ 15

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1-8 of 8 interpretable-ml projects