🤖 Online learning
Python implementations of contextual bandits algorithms
Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.
A Python library for machine-learning and feedback loops on streaming data
lightweight python wrapper for vowpal wabbit
The stream-learn is an open-source Python library for difficult data stream analysis.
A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
Online automated machine learning algorithms from KappaML
Predict time-series with one line of code.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Library for streaming data and incremental learning algorithms.
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detecti…
Framework and Library for Distributed Online Machine Learning
Stream Data Mining Library for Spark Streaming
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. Thi…
A Java Toolbox for Scalable Probabilistic Machine Learning
Feedforward neural network learning in real time
Fast and incremental explanations for online machine learning models. Works best with the river framework.
Streaming data sources and examples for your apps, models, and services.