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The Top 10 Interpretability Open Source Projects
Open source projects categorized as Interpretability
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shap/shap
⭐
24,967
A game theoretic approach to explain the output of any machine learning model.
dependent packages
0
total releases
0
most recent commit
3 months ago
EthicalML/awesome-production-machine-learning
⭐
15,344
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
dependent packages
0
total releases
0
most recent commit
about 2 years ago
jacobgil/pytorch-grad-cam
⭐
8,723
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
dependent packages
0
total releases
0
most recent commit
over 2 years ago
interpretml/interpret
⭐
5,885
Fit interpretable models. Explain blackbox machine learning.
dependent packages
0
total releases
0
most recent commit
about 2 years ago
pytorch/captum
⭐
4,393
Model interpretability and understanding for PyTorch
dependent packages
0
total releases
0
most recent commit
about 2 years ago
tensorflow/lucid
⭐
4,232
A collection of infrastructure and tools for research in neural network interpretability.
dependent packages
0
total releases
0
most recent commit
almost 5 years ago
jphall663/awesome-machine-learning-interpretability
⭐
3,241
A curated list of awesome responsible machine learning resources.
dependent packages
0
total releases
0
most recent commit
about 2 years ago
stellargraph/stellargraph
⭐
2,768
StellarGraph - Machine Learning on Graphs
dependent packages
0
total releases
0
most recent commit
over 2 years ago
MAIF/shapash
⭐
2,547
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
dependent packages
0
total releases
0
most recent commit
over 2 years ago
SeldonIO/alibi
⭐
2,257
Algorithms for explaining machine learning models
dependent packages
0
total releases
0
most recent commit
about 2 years ago
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