1.EthicalML / awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
+112 stars
from 20,951 · score 4.73
Trending repositories
Ranked by Attention Score: stars gained over the last 30 complete days
11 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
2.shap / shap
A game theoretic approach to explain the output of any machine learning model.
+66 stars
from 25,776 · score 4.20
3.jacobgil / pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
+25 stars
from 12,978 · score 3.26
4.interpretml / interpret
Fit interpretable models. Explain blackbox machine learning.
+24 stars
from 6,951 · score 3.22
5.jphall663 / awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
+13 stars
from 4,069 · score 2.64
6.wangyongjie-ntu / Awesome-explainable-AI
A collection of research materials on explainable AI/ML
+5 stars
from 1,657 · score 1.79
7.SeldonIO / alibi
Algorithms for explaining machine learning models
+4 stars
from 2,647 · score 1.61
8.tensorflow / lucidArchived
A collection of infrastructure and tools for research in neural network interpretability.
+3 stars
from 4,702 · score 1.39
9.ModelOriented / DALEX
moDel Agnostic Language for Exploration and eXplanation
+3 stars
from 1,487 · score 1.39
10.datamllab / awesome-fairness-in-ai
A curated list of awesome Fairness in AI resources
+3 stars
from 338 · score 1.39
11.stellargraph / stellargraph
StellarGraph - Machine Learning on Graphs
+2 stars
from 3,062 · score 1.10