Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

Differentiable probabilistic answer set programming

This is a docker image that builds this the MeTA NLP C++ library: https://meta-toolkit.org. This image uses the version of MeTA used by the Coursera Course, Text Mining and Analysis (https://www.co…

Natural Language Processing Best Practices & Examples

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

UnifiedQA: Crossing Format Boundaries With a Single QA System

Bias Auditing & Fair ML Toolkit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

Papers & presentation materials from Hugging Face's internal science day

A tool for building feature stores.

Pretrained ulmfit for Finnish and a classification example

The weights for the embedding layer of a Portuguese ULMFiT Model trained on Wikipedia

Presentations from H2O meetups & conferences by the H2O.ai team