1. Explaining datasets and models
  2. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 21 - 30 of 43
Skater by oracle


Python Library for Model Interpretation/Explanations
keras-vis by raghakot


Neural network visualization toolkit for keras
cleverhans by cleverhans-lab


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


Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
lime by marcotcr


Lime: Explaining the predictions of any machine learning classifier
facets by PAIR-code


Visualizations for machine learning datasets
anchor by marcotcr


Code for "High-Precision Model-Agnostic Explanations" paper
fairness-comparison by algofairness


Comparing fairness-aware machine learning techniques.
deeplift by kundajelab


Public facing deeplift repo
xai by EthicalML


XAI - An eXplainability toolbox for machine learning