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Topic: "domain-incremental-learning"

GMvandeVen/continual-learning

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.

Language: Jupyter Notebook - Size: 2.93 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 1,705 - Forks: 328

Wang-ML-Lab/unified-continual-learning

[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm

Language: Python - Size: 4.17 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 37 - Forks: 6

Estrella-fugaz/CVPR25-DUCT

Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning (CVPR 2025)

Language: Python - Size: 4.98 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 16 - Forks: 2

laitifranz/Prompt2Guard

[ICPR 2024] Exemplar-free continual deepfake detector that leverages CLIP and domain-specific multi-modal prompts

Language: Python - Size: 4.39 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

sabaaslam6038/CEL

CEL Continual Learning

Language: Python - Size: 70.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

FabriDeCastelli/dark-experience-replay

Implementation of Dark Experience Replay with Reservoir Sampling from scratch, benchmarked on CIL, TIL and DIL.

Language: Jupyter Notebook - Size: 230 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

NeurAI-Lab/DUCA

Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning

Language: Python - Size: 1.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0