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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
49 commits to master branch, last one 13 days ago
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
Created
2021-04-20
192 commits to main branch, last one about a year ago
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 3 years ago
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 3 years ago
A flexible, adaptive classification system for dynamic text classification
bert
llms
faiss
roberta
classifier
distilbert
embeddings
transformers
neural-layers
neural-networks
online-learning
machine-learning
adaptive-learning
continous-learning
text-classification
large-language-models
adaptive-neural-network
multi-class-classification
multi-label-classification
elastic-weight-consolidation
Created
2025-01-12
77 commits to main branch, last one 23 days ago
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).
Created
2021-04-20
12 commits to main branch, last one 2 years ago