Minhchuyentoancbn/Continual-Learning
All in One - Continual Learning
This is a collection of implementations for various continual learning algorithms using PyTorch. It helps machine learning engineers and researchers explore and apply different strategies to train models on new data without forgetting previously learned information. You provide existing PyTorch models and datasets, and it outputs models capable of incremental learning across tasks.
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Use this if you are a machine learning engineer or researcher experimenting with models that need to learn continuously from new data streams without suffering from 'catastrophic forgetting'.
Not ideal if you need a high-level, production-ready framework for immediate deployment or are not comfortable working directly with PyTorch code and research-oriented implementations.
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Last pushed
May 24, 2023
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