awesome-online-machine-learning

— Gives some insights into the inner workings of Vowpal Wabbit, especially the

— The entire book builds upon Online Learning paradigm in applied learning/optimization problems, being the reference

— Focus on linear models and bandits. Some courses are given by John Langford, the creator of Vowpal Wabbit

— Course from Columbia by Tony Jebara, covers bandits

Course from Politecnico di Milano

River

— A Python library for general purpose online machine learning

Apache Flink machine learning library

— A Library for Field-aware Factorization Machines

— A Library for Large Linear Classification

— A collection of online linear models trained with first and second order gradient descent methods. Not maintained

— of scikit-learn's estimators can handle incremental updates, although this is usually intended for mini-batch learning. See also the page

— Doesn't do online learning per say, but instead mini-batches the data into fixed intervals of time

StreamDM

— A machine learning library on top of Spark Streaming

django-river-ml

— a Django plugin for deploying River models

chantilly

— a prototype meant to be compatible with River (previously Creme)

— An implementation is available

— Source code is available

— An online variant of the Fourier Transform, a concise explanation is available