interpretable-ai
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Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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Apr 7, 2025 - Python
Fit interpretable models. Explain blackbox machine learning.
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Dec 11, 2025 - C++
Model interpretability and understanding for PyTorch
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Dec 16, 2025 - Python
A curated list of awesome responsible machine learning resources.
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Dec 1, 2025
A collection of research materials on explainable AI/ML
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Dec 11, 2025 - Markdown
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
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Dec 17, 2025 - Python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
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Jun 17, 2024 - Jupyter Notebook
H2O.ai Machine Learning Interpretability Resources
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Dec 12, 2020 - Jupyter Notebook
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu
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Aug 21, 2024 - Jupyter Notebook
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
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Jul 31, 2025 - Python
PyTorch Explain: Interpretable Deep Learning in Python.
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May 16, 2024 - Jupyter Notebook
Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.
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Jun 22, 2025 - Python
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
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Dec 8, 2022 - Jupyter Notebook
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 Classification"
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Mar 12, 2024 - Python
Explainable AI in Julia.
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Dec 16, 2025 - Julia
All about explainable AI, algorithmic fairness and more
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Sep 24, 2023 - HTML
A curated list of awesome academic research, books, code of ethics, courses, databases, data sets, frameworks, institutes, maturity models, newsletters, principles, podcasts, regulations, reports, responsible scale policies, tools and standards related to Responsible, Trustworthy, and Human-Centered AI.
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Dec 17, 2025
Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
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Jun 9, 2023 - Python
Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
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Apr 22, 2024 - Python
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