ELIH: Explain Machine Learning predictions like I'm a human
MIT License
Named entity recognizer based on ELMo or BERT as feature extractor and CRF as final classifier
[UNMAINTAINED] Automated machine learning for analytics & production
Simple python package for creating predictive models
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Colla...
Data science tools for exploration, visualization, and model iteration.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Natural Intelligence is still a pretty good idea.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Automated Machine Learning Library Using Random Search and Cash Technique
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model...
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large languag...
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch