modelStudio
modelStudio: Interactive Studio with Explanations for ML Predictive Models - Published in JOSS (2019)
TSInterpret
TSInterpret: A Python Package for the Interpretability of Time Series Classification - Published in JOSS (2023)
compboost
compboost: Modular Framework for Component-Wise Boosting - Published in JOSS (2018)
counterfactuals
counterfactuals: An R package for Counterfactual Explanation Methods
slise
Robust regression algorithm that can be used for explaining black box models (Python implementation)
https://github.com/cair/pytsetlinmachineparallel
Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.
https://github.com/cair/convolutional-tsetlin-machine-tutorial
Tutorial on the Convolutional Tsetlin Machine
talktomodel
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
survex
Explainable Machine Learning in Survival Analysis
high-dimensional-analysis-in-python
Exploring and Modeling High-Dimensional Data
https://github.com/alan-turing-institute/intro-to-transparent-ml-course
An Introduction to Transparent Machine Learning
bcf-iv
Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)
slise
Robust regression algorithm that can be used for explaining black box models (R implementation)