🌊 Online machine learning in Python
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Updated
May 6, 2026 - Python
🌊 Online machine learning in Python
🦞 Just talk to your agent — it learns and EVOLVES 🧬.
A framework for large scale recommendation algorithms.
Composable GAN framework with api and user interface
Vue前台 + Django3.1 + DjangoRestful Framework + Ant Design Pro V4后台 开发的在线教育网站及后台管理
A flexible, adaptive classification system for dynamic text classification
Course demo code and other hand-out materials for our data-driven web apps in Flask course
A clean and simple data loading library for Continual Learning
Wild Visual Navigation: A system for fast traversability learning via pre-trained models and online self-supervision
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.
This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling》
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
This is an implementation for Streaming Wavelet Module, which sequentially apply wavelet transform to a sequence of signal efficiently.
Implementation of Accurate Online Support Vector Regression in Python.
[ICLR 2025] NextBestPath: Efficient 3D Mapping of Unseen Environments
ML algorithm for real-time classification
Fast and incremental explanations for online machine learning models. Works best with the river framework.
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