Open Source Tools for AI-Projects

Displaying 1 - 10 of 10

shapash by MAIF


🔅 Shapash makes Machine Learning models transparent and understandable by everyone

shap by slundberg


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



Attributing predictions made by the Inception network using the Integrated Gradients method

GEBI by AgaMiko


GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset

cleverhans by cleverhans-lab


An adversarial example library for constructing attacks, building defenses, and benchmarking both

facets by PAIR-code


Visualizations for machine learning datasets

anchor by marcotcr


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

lucid by tensorflow


A collection of infrastructure and tools for research in neural network interpretability.

eli5 by TeamHG-Memex


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

themis-ml by cosmicBboy


A library that implements fairness-aware machine learning algorithms