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.
bcf-iv
Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)
high-dimensional-analysis-in-python
Exploring and Modeling High-Dimensional Data
https://github.com/cair/convolutional-tsetlin-machine-tutorial
Tutorial on the Convolutional Tsetlin Machine
slise
Robust regression algorithm that can be used for explaining black box models (R implementation)
https://github.com/alan-turing-institute/intro-to-transparent-ml-course
An Introduction to Transparent Machine Learning
talktomodel
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
survex
Explainable Machine Learning in Survival Analysis