Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

Fast Incremental Support Vector Data Description implemented in Python

Implementation of an online learning algorithm to do classification under concept drift

Online machine learning methods

A Python library for efficient feature ranking and selection on sparse data sets.

Online Ranking with Multi-Armed-Bandits

Python implementations of Machine Learning Algorithms for the Online Setting

MATLAB implementation of the paper "Online Distributed Optimal Power Flow with Equality Constraints" [arXiv 2022].

[IEEE ICASSP 2021] "A fast randomized adaptive CP decomposition for streaming tensors". In 46th IEEE International Conference on Acoustics, Speech, & Signal Processing, 2021.

continual learning algorithms from CVPR 2021 and ICLR 2021

A MATLAB implementation of online convex optimization (OCO) with long term constraints algorithms

Simple Implementations of Bandit Algorithms in python

Simple yet efficient algorithms for Link Prediction in Dynamic Graphs

Telecommunications Marketing NBA Simulator

Kernel Versions of various machine learning algorithms

The implementation of the Diversity Pool algorithm, proposed in the paper "Diversity-Based Pool of Models for Dealing with Recurring Concepts" and presented at IJCNN '18

Experiments for online learning and data assimilation for time series data.

FTRL-Proximal online learning algorithm for logistic regression in javascript