sergioburdisso/pyss3
A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI :octocat:
349 stars and 357 monthly downloads. Available on PyPI.
Stars
349
Forks
44
Language
Python
License
MIT
Last pushed
Oct 16, 2025
Monthly downloads
357
Commits (30d)
0
Dependencies
7
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sergioburdisso/pyss3"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
obss/sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent...
understandable-machine-intelligence-lab/Quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling...