interpretable-ml topic
PySR
High-Performance Symbolic Regression in Python and Julia
SymbolicRegression.jl
Distributed High-Performance Symbolic Regression in Julia
zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
rrl
The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classif...
OSDT
Optimal Sparse Decision Trees
interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
survex
Explainable Machine Learning in Survival Analysis
mllp
The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
Explainable-ML-Papers
A list of research papers of explainable machine learning.
PIPNet
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)