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Mattdl / CLsurvey

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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.

framework deep-learning neural-networks hat hyperparameter-tuning incremental-learning inaturalist continual-learning elastic-weight-consolidation icarl tinyimagenet tpami classification-tasks gradient-episodic-memory synaptic-intelligence defy-forgetting packnet memory-aware-synapses incremental-moment-matching
  • Updated Jun 3, 2021
  • Python

Fatemerjn / Dynamic-Architecture-Continual-Learning-PyTorch

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Implements dynamic and expandable architectures for continual learning — where networks grow or prune over tasks to balance plasticity and stability. Includes Progressive Neural Networks, Dynamically Expandable Networks (DEN), and PackNet, with utilities for parameter freez

pytorch incremental-learning neural-architecture-search lifelong-learning den continual-learning packnet dynamic-architecture progressive-networks model-expansion
  • Updated Oct 15, 2025
  • Python

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