2 results found Sort:
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 9 months 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