Apache Superset is a Data Visualization and Data Exploration Platform

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…

Book about interpretable machine learning

links to conference publications in graph-based deep 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 suite of image and video neural tokenizers

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.

本教程独立网站已上线

Explanatory Model Analysis. Explore, Explain and Examine Predictive Models

Interactive visualization of machine learning model evaluation metrics

Interpretability Techniques to Build Robust AI Applications