RobinU434/AccumulatedLocalEffectPlots
This repository is part of the "Fair and Interpretable Machine Learning" seminar hosted by Janek Thomas in the summer semester 2022
No commits in the last 6 months.
Stars
—
Forks
—
Language
Jupyter Notebook
License
Apache-2.0
Last pushed
Dec 29, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/RobinU434/AccumulatedLocalEffectPlots"
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
tensorflow/tcav
Code for the TCAV ML interpretability project
MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent...
TeamHG-Memex/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling...