A game theoretic approach to explain the output of any machine learning model.

An open-source, low-code machine learning library in Python

Automatic extraction of relevant features from time series:

Visualizations for machine learning datasets

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

links to conference publications in graph-based deep learning

Book about interpretable machine learning

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Debugging, monitoring and visualization for Python Machine Learning and Data Science

A library for debugging/inspecting machine learning classifiers and explaining their predictions

MLOps examples

Python library for interactive topic model visualization. Port of the R LDAvis package.

A data visualization curriculum of interactive notebooks.

bamboolib - a GUI for pandas DataFrames

python partial dependence plot toolbox

Code for "High-Precision Model-Agnostic Explanations" paper

AI与数据科学各类工具库速查表与参考代码

H2O.ai Machine Learning Interpretability Resources

AFINN sentiment analysis in Python

Collection of notebooks and scripts related to audio processing and machine learning.

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Explanatory Model Analysis. Explore, Explain and Examine Predictive Models

Interactive visualization of machine learning model evaluation metrics

Interpretability Techniques to Build Robust AI Applications