Online machine learning resources
β634Sep 26, 2026Updated last month
Alternatives and similar repositories for awesome-online-machine-learning
Users that are interested in awesome-online-machine-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 𦫠MLOps for (online) machine learningβ91Mar 25, 2024Updated 2 years ago
- β177Updated this week
- π Online machine learning in Pythonβ6,141Updated this week
- WIPβ37Jul 29, 2024Updated 2 years ago
- This repository serves as a demo for River and its associated clustering module (2022 edition).β12Aug 21, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer β’ AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning from Imbalanced Drifting Data Streamsβ10Jun 24, 2024Updated 2 years ago
- π Explain why metrics change by unpacking themβ42Updated this week
- A machine learning package for streaming data in Python. The other ancestor of River.β800Nov 2, 2023Updated 3 years ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.β56Dec 26, 2024Updated last year
- The stream-learn is an open-source Python library for difficult data stream analysis.β67May 5, 2026Updated 5 months ago
- Extra functionalities for riverβ15May 15, 2024Updated 2 years ago
- The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.β129Oct 31, 2023Updated 3 years ago
- Tidy up your machine learning experimentsβ17Sep 5, 2019Updated 7 years ago
- A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental frameworkβ29Jun 27, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI β’ AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learningβ41Jul 25, 2026Updated 3 months ago
- Django plugin for online machine learning with river (under-development)β15Dec 25, 2023Updated 2 years ago
- Online Reliable Semi-supervised Learning on Evolving Data Streamsβ15Feb 18, 2026Updated 8 months ago
- MOA compatible imbalanced data stream generator, as described in "The impact of data difficulty factors on classification of imbalanced aβ¦β14Nov 27, 2021Updated 4 years ago
- Reimplementation of VFDT and EFDT. Our codebase is simple, concise, easy to reproduce with strong performances.β10Feb 1, 2021Updated 5 years ago
- π¦ Online statistics in Rustβ76Jul 31, 2025Updated last year
- βοΈ Measuring the accuracy of BBC weather forecasts in Honolulu, USAβ12Jul 10, 2021Updated 5 years ago
- One of the ancestors of Riverβ40Nov 13, 2020Updated 5 years ago
- β15Nov 28, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer β’ AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- MA4128 Github Assessmentβ10Dec 12, 2021Updated 4 years ago
- MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regrβ¦β670Oct 26, 2026Updated last week
- A collection of data sets for stream learning.β41May 8, 2020Updated 6 years ago
- Toolkit to forge scikit-learn compatible estimatorsβ19Oct 1, 2026Updated last month
- A Python library for machine-learning and feedback loops on streaming dataβ64Updated this week
- concept drift datasets edited to work with scikit-multiflow directlyβ43Jul 24, 2019Updated 7 years ago
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in pythonβ157Jul 16, 2019Updated 7 years ago
- β17Dec 11, 2022Updated 3 years ago
- ECHO is a semi-supervised framework for classifying evolving data streams based on our previous approach SAND. The most expensive module β¦β12Dec 25, 2017Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean β’ AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- AutoML framework for implementing automated machine learning on data streamsβ15Jun 29, 2023Updated 3 years ago
- The simplest way to deploy a machine learning modelβ23Nov 19, 2022Updated 3 years ago
- Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)β192Apr 13, 2026Updated 6 months ago
- A modular Python framework for standardized evaluation and benchmarking of online learning models.β10Nov 24, 2022Updated 3 years ago
- π€πͺInterpretability with tensordict and torch hooks.β13Sep 8, 2026Updated last month
- Online machine learning methodsβ22Sep 29, 2021Updated 5 years ago
- β52Nov 2, 2018Updated 8 years ago