EWC, anti-catastrophic forgetting, regime adaptation for continuous learning
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Updated
Feb 3, 2026 - Python
EWC, anti-catastrophic forgetting, regime adaptation for continuous learning
This respository hosts the Trust List for the EWC Large Scale Pilots and is co-founded by EU Commission
A spaCy library for Named Entity Recognition with Elastic Weight Consolidation.
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
A short script to search for optimal values of lambda in the sequential learning technique Elastic Weight Consolidation
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.
comparative evaluation of incremental machine learning methods
Tensorflow 1.x implementation of EWC, evaluated on permuted MNIST
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.
StackStorm pack containing demo workflows and automations
Implementation of ews weight constraint mentioned in recent Deep Mind paper: http://www.pnas.org/content/early/2017/03/13/1611835114.full.pdf
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