Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

A toolkit to evaluate neural network explanations. The associated research paper can be found here.

is a free and secure cloud-based communal repository

Capabilities of MendeleyData:

• store data
• keeping the data safe
• makes it possible to share data and access it wherever you are

implements utilities and tools to use in any Javascript/Typescript application to use LLMs and Chat Based models.

contains various tools that enable for analysis and evaluation of data and models. The XAI library is maintained by The Institute for Ethical AI & ML, and it was developed based on the 8 principles for Responsible Machine Learning.

is a Python library which aims to make machine learning interpretable and understandable by everyone. It provides several types of visualization that display explicit labels that everyone can understand.

is a Python machine-learning library for explainable AI (XAI)

is an open-source software library for advanced NLP, written in the programming languages Python and Cython.

is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) in the Python. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities.