Continuous Machine Learning (CML) Frameworks
- 01. Jubatus is a distributed processing framework and streaming machine learning library.
- 02. The Tornado framework is designed and implemented for adaptive online learning and data stream mining in Python.
- 03. River is a Python library for online machine learning
- 04. MOA is the most popular open source framework for data stream mining, with a very active growing community
- 05. scikit-multiflow - A machine learning package for streaming data in Python
- 06. streamDM is a new open source software for mining big data streams using Spark Streaming .
- 07. chantilly is a deployment tool for online machine learning models.
- 08. ExStream - A PyTorch implementation of the ExStream method - A Memory Efficient Experience Replay for Streaming Learning
- 09. Deep SLDA - This is a PyTorch implementation of the Deep Streaming Linear Discriminant Analysis (SLDA) algorithm
- 10. REMIND (REplay using Memory INDexing) - This is a PyTorch implementation of the REMIND algorithm