interpretable-machine-learning topic
ProtoTree
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
compboost
C++ implementation and R API for componentwise boosting
survex
Explainable Machine Learning in Survival Analysis
mllp
The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
convolutional-tsetlin-machine-tutorial
Tutorial on the Convolutional Tsetlin Machine
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...
R2A
"Deriving Machine Attention from Human Rationales" EMNLP 2018
TalkToModel
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
pytorch_explain
PyTorch Explain: Interpretable Deep Learning in Python.
Dynamic-SHAP-Plots
Enabling interactive plotting of the visualizations from the SHAP project.