1. Explaining datasets and models
  2. Apache License 2.0
  3. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 1 - 10 of 11
model-analysis by tensorflow


Model analysis tools for TensorFlow
alibi by SeldonIO


Algorithms for explaining machine learning models
shapash by MAIF


🔅 Shapash makes Machine Learning models transparent and understandable by everyone
whylogs by whylabs


The open source standard for data logging
AIF360 by Trusted-AI


A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
AIX360 by Trusted-AI


Interpretability and explainability of data and machine learning models
what-if-tool by PAIR-code


Source code/webpage/demos for the What-If Tool
facets by PAIR-code


Visualizations for machine learning datasets
fairness-comparison by algofairness


Comparing fairness-aware machine learning techniques.
lucid by tensorflow


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