mateoespinosa/tabcbm

Official Implementation of TMLR's paper: "TabCBM: Concept-based Interpretable Neural Networks for Tabular Data"

/ 100

Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 6 / 25

Maturity 9 / 25

Community 10 / 25

Stars

Forks

Language

Python

License

MIT

Category

Last pushed

Apr 04, 2024

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mateoespinosa/tabcbm"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

obss/sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

understandable-machine-intelligence-lab/Quantus

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

MAIF/shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent...

ModelOriented/DALEX

moDel Agnostic Language for Exploration and eXplanation

csinva/imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling...