Incremental Learning Python Packages

river

🌊 Online machine learning in Python

capymoa

CapyMOA does efficient machine learning for data streams in Python. CapyMOA is a toolbox of methods and evaluators for: classification, regression, clustering, anomaly detection, semi-supervised learning, online continual learning, and drift detection for data streams.

otx

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).

creme

🌊 Online machine learning in Python

continuum

A clean and simple data loading library for Continual Learning

pysad

Streaming anomaly detection in Python: 16 online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.

aberrant

Online Anomaly Detection Algorithms

getitune

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).

deep-river

Online Deep Learning for river

onad

Online Anomaly Detection Algorithms

incremental-trees

Adds partial fit method to sklearn's forest estimators to allow incremental training without being limited to a linear model. Works with Dask-ml's Incremental.

evoautoml

Online Automated Machine Learning for river

river-torch

Online Deep Learning for river

nonce2vec

Incremental learning of word embeddings with context informativeness.

sevq

Simple Evolving Vector Quantization

autosail

Library for streaming data and incremental learning algorithms.

onlinecml

Online Causal Machine Learning in Python — one observation at a time

clloader

A clean and simple data loading library for Continual Learning

clloader-arthurdouillard

A clean and simple data loading library for Continual Learning

thorml

AutoML tools for solving Time-Varying High-Dimensional Ordinal Regression Problems

rivertext

RiverText is a framework that standardizes the Incremental Word Embeddings proposed in the state-of-art. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

continnum

A clean and simple data loading library for Continual Learning

increc

Software library for stream-based recommender systems