Explainable-ml Libraries

TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Microsoft Research. It works in Jupyter Notebook to show real-time visualiza…

A maintained and curated list of practical and awesome responsible machine learning resources. This section is for responsible ML guidance put forward by organizations or individuals, not for officia…

Effortlessly share and discuss results with non-Data users Deploy interpretability part of your project: From model training to deployment (API or Batch Mode) Shapash is intended to work with Python …

Machine learning algorithms create potentially more accurate models than linear models, but any increase in accuracy over more traditional, better-understood, and more easily explainable techniques i…

Python 3.6+ Install the acv package: The following code return the Sufficient Explanation with minimal cardinality. Since the Minimal Sufficient Explanation may not be unique for a given instance, we…