JOSS Papers: interpretability

All Papers
3469
 Published Papers
3039
 Active Papers
430
published Published almost 4 years ago

starry_process: Interpretable Gaussian processes for stellar light curves

Python C++ C
@rodluger
10.21105/joss.03071
published Published about 4 years ago

imodels: a python package for fitting interpretable models

Python Jupyter Notebook
@csinva
10.21105/joss.03192
published Published over 5 years ago

shapr: An R-package for explaining machine learning models with dependence-aware Shapley values

R Python C++
@martinju
10.21105/joss.02027
published Published over 5 years ago

PyUoI: The Union of Intersections Framework in Python

C Python
@pssachdeva
10.21105/joss.01799
published Published over 5 years ago

modelStudio: Interactive Studio with Explanations for ML Predictive Models

R JavaScript
@hbaniecki
10.21105/joss.01798
published Published almost 6 years ago

modelDown: automated website generator with interpretable documentation for predictive machine learning models

R
@matiszak
10.21105/joss.01444
published Published over 6 years ago

easyaccess: Enhanced SQL command line interpreter for astronomical surveys

Python
@mgckind
10.21105/joss.01022
published Published over 6 years ago

iRF: extracting interactions from random forests

R C++ C
@karlkumbier
10.21105/joss.01077
published Published over 6 years ago

Ising_OPV v4.0: Experimental Tomography Data Import, Interpretation, and Analysis

C++
@MikeHeiber
10.21105/joss.01072
published Published over 6 years ago

survxai: an R package for structure-agnostic explanations of survival models

R
@AleksandraDabrowska
10.21105/joss.00961
Displaying papers 11 - 20 of 24 in total

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ISSN 2475-9066