interpretable-machine-learning
Here are 477 public repositories matching this topic...
Fit interpretable models. Explain blackbox machine learning.
-
Updated
Jun 15, 2026 - C++
A curated list of awesome responsible machine learning resources.
-
Updated
Jun 3, 2026
Generate Diverse Counterfactual Explanations for any machine learning model.
-
Updated
Jul 13, 2025 - Python
moDel Agnostic Language for Exploration and eXplanation
-
Updated
Jan 20, 2026 - Python
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
-
Updated
Mar 30, 2025 - Jupyter Notebook
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
-
Updated
Apr 21, 2026 - Python
OmniXAI: A Library for eXplainable AI
-
Updated
Jun 2, 2026 - Jupyter Notebook
-
Updated
Mar 19, 2023 - Python
Interesting resources related to XAI (Explainable Artificial Intelligence)
-
Updated
May 31, 2022 - R
Shapley Interactions and Shapley Values for Machine Learning
-
Updated
Jun 15, 2026 - Python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
-
Updated
Jun 17, 2024 - Jupyter Notebook
H2O.ai Machine Learning Interpretability Resources
-
Updated
Dec 12, 2020 - Jupyter Notebook
Explain & debug any blackbox machine learning model with a single line of code.
-
Updated
Jun 14, 2026 - Python
A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI ![]()
-
Updated
Oct 16, 2025 - Python
š Interactive Studio for Explanatory Model Analysis
-
Updated
Aug 31, 2023 - R
š” Adversarial attacks on explanations and how to defend them
-
Updated
Nov 30, 2024
PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
-
Updated
Jun 2, 2026 - Python
Concept Bottleneck Models, ICML 2020
-
Updated
Feb 24, 2023 - Python
A list of (post-hoc) XAI for time series
-
Updated
Apr 3, 2026
š„ Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimerās Disease
-
Updated
Jul 5, 2019 - Jupyter Notebook
Improve this page
Add a description, image, and links to the interpretable-machine-learning topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the interpretable-machine-learning topic, visit your repo's landing page and select "manage topics."