Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
MIT License
Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon w...
Awesome Domain Adaptation Python Toolbox
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Lang...
Natural Intelligence is still a pretty good idea.
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
An experiment about re-implementing supervised learning models based on shallow neural network ap...
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
A framework for prototyping and benchmarking imputation methods
Automated Machine Learning with scikit-learn
scikit-activeml: Python library for active learning on top of scikit-learn
[UNMAINTAINED] Automated machine learning for analytics & production
Seamlessly integrate LLMs into scikit-learn.
Extends scikit-learn with new models, transformers, metrics, plotting.
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Colla...
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large languag...