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305

1.5k

mit

29

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.

icarl replay distillation deep-learning generative-models lifelong-learning continual-learning incremental-learning replay-through-feedback variational-autoencoder gradient-episodic-memory task-incremental-learning artificial-neural-networks class-incremental-learning domain-incremental-learning elastic-weight-consolidation

Created 2018-09-26

41 commits to master branch, last one 2 months ago

continual-learning-baselines ContinualAI

34

241

mit

8

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

ewc gem lwf agem gdumb icarl baselines assessment literature experiments reproduction lifelong-learning continual-learning synaptic-intelligence elastic-weight-consolidation

Created 2021-04-20

192 commits to main branch, last one 3 months ago

brain-inspired-replay GMvandeVen

63

218

mit

7

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

replay split-mnist distillation deep-learning brain-inspired permuted-mnist split-cifar100 internal-replay generative-replay lifelong-learning continual-learning incremental-learning synaptic-intelligence replay-through-feedback variational-autoencoder artificial-neural-networks elastic-weight-consolidation

Created 2020-08-04

10 commits to master branch, last one 2 years ago

CLsurvey Mattdl

24

191

other

9

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 classifi...

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

Created 2020-04-06

6 commits to master branch, last one 2 years ago

class-incremental-learning GMvandeVen

14

68

mit

2

PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).

ar1 cwr slda cwr-plus labels-trick generative-replay continual-learning brain-inspired-replay generative-classifier synaptic-intelligence variational-autoencoder generative-classification class-incremental-learning elastic-weight-consolidation

Created 2021-04-20

12 commits to main branch, last one about a year ago