1.EthicalML / awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
+305 stars
from 20,758 · score 5.72
Trending repositories
Ranked by Attention Score: stars gained over the last 90 complete days
12 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
2.shap / shap
A game theoretic approach to explain the output of any machine learning model.
+228 stars
from 25,614 · score 5.43
3.jacobgil / pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
+98 stars
from 12,905 · score 4.60
4.interpretml / interpret
Fit interpretable models. Explain blackbox machine learning.
+83 stars
from 6,892 · score 4.43
5.jphall663 / awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
+42 stars
from 4,040 · score 3.76
6.SeldonIO / alibi
Algorithms for explaining machine learning models
+17 stars
from 2,634 · score 2.89
7.wangyongjie-ntu / Awesome-explainable-AI
A collection of research materials on explainable AI/ML
+17 stars
from 1,645 · score 2.89
8.ModelOriented / DALEX
moDel Agnostic Language for Exploration and eXplanation
+9 stars
from 1,481 · score 2.30
9.stellargraph / stellargraph
StellarGraph - Machine Learning on Graphs
+7 stars
from 3,057 · score 2.08
10.tensorflow / lucidArchived
A collection of infrastructure and tools for research in neural network interpretability.
+6 stars
from 4,699 · score 1.95
11.datamllab / awesome-fairness-in-ai
A curated list of awesome Fairness in AI resources
+6 stars
from 335 · score 1.95
12.tensorflow / decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
+1 stars
from 691 · score 0.69