Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
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Updated
Feb 20, 2024 - Python
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
DEPRECATED & OBSOLETE! Previously StackStorm Enterprise (EWC) Workflow Editor. Now integrated directly into StackStorm OSS Core platform (st2web).
Keras-based framework for implementing continual learning methods.
Implementation of ews weight constraint mentioned in recent Deep Mind paper: http://www.pnas.org/content/early/2017/03/13/1611835114.full.pdf
Tensorflow 1.x implementation of EWC, evaluated on permuted MNIST
comparative evaluation of incremental machine learning methods
A spaCy library for Named Entity Recognition with Elastic Weight Consolidation.
Documentation repository for EWC Automation Suites: Network Essentials and DC Fabric
A short script to search for optimal values of lambda in the sequential learning technique Elastic Weight Consolidation
Installation scripts for EWC
StackStorm pack containing demo workflows and automations
The ability to learn tasks in a sequential fashion is crucial to the development of artificial intelligence. Until now neural networks have not been capable of this and it has been widely thought that catastrophic forgetting is an inevitable feature of connectionist models.
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