PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
-
Updated
Mar 21, 2024 - Jupyter Notebook
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.
This website applies a recommendation system and continuous learning.
implementation of some classical CL methods using deepseed
Add a description, image, and links to the gradient-episodic-memory topic page so that developers can more easily learn about it.
To associate your repository with the gradient-episodic-memory topic, visit your repo's landing page and select "manage topics."