Papers Read on AI

OmniXAI: A Library for Explainable AI


Listen Later

We introduce OmniXAI 1 (short for Omni eXplainable AI), an open-source Python library of eXplainable AI (XAI), which offers omni-way explainable AI capabilities and various interpretable machine learning techniques to address the pain points of understanding and interpreting the decisions made by machine learning (ML) in practice. OmniXAI aims to be a one-stop comprehensive library that makes explainable AI easy for data scientists, ML researchers and practitioners who need explanation for various types of data, models and explanation methods at different stages of ML process.
2022: Wenzhuo Yang, Hung Le, S. Savarese, S. Hoi
https://arxiv.org/pdf/2206.01612v3.pdf
...more
View all episodesView all episodes
Download on the App Store

Papers Read on AIBy Rob

  • 3.7
  • 3.7
  • 3.7
  • 3.7
  • 3.7

3.7

3 ratings