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 detection and recommender systems) and tools for evaluation.
☆658Dec 19, 2025Updated 5 months ago
Alternatives and similar repositories for moa
Users that are interested in moa are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A machine learning package for streaming data in Python. The other ancestor of River.☆794Nov 2, 2023Updated 2 years ago
- Implementation of the D-Stream clustering algorithm for use in MOA. An earlier version is included as part of the MOA 17.06 release.☆14Jan 29, 2019Updated 7 years ago
- My Java codes for the MOA framework. It includes the implementations of FHDDM, FHDDMS, and MDDMs.☆24Apr 24, 2021Updated 5 years ago
- Multi-label classifiers and evaluation procedures using the Weka machine learning framework.☆209Jan 22, 2026Updated 4 months ago
- A D-Stream clustering algorithm implementation in Python☆14Mar 25, 2016Updated 10 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Stream Data Mining Library for Spark Streaming☆497Apr 16, 2023Updated 3 years ago
- Weka package for the Deeplearning4j java library☆208May 2, 2022Updated 4 years ago
- MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regr…☆12Apr 10, 2019Updated 7 years ago
- ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning from Imbalanced Drifting Data Streams☆10Jun 24, 2024Updated last year
- Python implementation of DenStream clustering☆12Jan 13, 2020Updated 6 years ago
- Mirror of Apache Samoa (Incubating)☆251May 15, 2026Updated last week
- concept drift datasets edited to work with scikit-multiflow directly☆42Jul 24, 2019Updated 6 years ago
- Incremental Kolmogorov Smirnov☆21Dec 18, 2019Updated 6 years ago
- Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04☆43Oct 18, 2017Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.☆130Oct 31, 2023Updated 2 years ago
- No longer updated mirror of the Weka 3.8 branch.☆189Aug 10, 2022Updated 3 years ago
- Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique com…☆134Updated this week
- A framework for data stream modeling and associated data mining tasks such as clustering and classification. - R Package☆40Mar 12, 2025Updated last year
- 📖These are the concept drift datasets we made, and we open-source the data and corresponding interfaces. Welcome to use them for free if…☆39Apr 16, 2024Updated 2 years ago
- stream Machine Learning in C++☆72Jul 2, 2015Updated 10 years ago
- A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework☆29Jun 27, 2024Updated last year
- ☆53Nov 2, 2018Updated 7 years ago
- Pinpoint is an open source APM (Application Performance Management) tool for large-scale distributed systems written in Java.☆17Jan 18, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The source code of paper "Dynamic Ensemble Selection for Imbalanced Data Streams with Concept Drift"☆12May 7, 2023Updated 3 years ago
- ☆13Nov 2, 2017Updated 8 years ago
- ☆172Updated this week
- LOFS: A Library of Online Streaming Feature Selection☆18Jul 31, 2016Updated 9 years ago
- You will find (about) synthetic and real-world data streams in this repository.☆49Apr 24, 2021Updated 5 years ago
- A collection of data sets for stream learning.☆39May 8, 2020Updated 6 years ago
- This is a repository for students to solve some problems in the c files provided. Instructions are provided below☆11Aug 28, 2023Updated 2 years ago
- Curated list of github repositories that are associated with the Faculty of Computing and Mathematical Sciences of the University of Waik…☆25Feb 28, 2024Updated 2 years ago
- No longer updated mirror of the Weka trunk branch.☆132Aug 10, 2022Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- unsupervised concept drift detection☆35Aug 25, 2021Updated 4 years ago
- 🌊 Online machine learning in Python☆5,818May 12, 2026Updated last week
- An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detecti…☆55Jan 20, 2024Updated 2 years ago
- Python implementation of the data stream clustering algorithm "DenStream"☆66Jun 29, 2020Updated 5 years ago
- ☆45Apr 3, 2019Updated 7 years ago
- Very Fast Machine Learning Toolkit☆28May 9, 2013Updated 13 years ago
- SAMOA (Scalable Advanced Massive Online Analysis) is an open-source platform for mining big data streams.☆428Mar 28, 2016Updated 10 years ago