Kaushikjas10/Liquefaction-XGBoost-SHAP-Jas-Dodagoudar
This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.
No commits in the last 6 months.
Stars
5
Forks
—
Language
Jupyter Notebook
License
—
Last pushed
Jul 06, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Kaushikjas10/Liquefaction-XGBoost-SHAP-Jas-Dodagoudar"
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
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...
aixplain/aiXplain
aiXplain enables python programmers to add AI functions to their software.