Gido van de Ven

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.

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

class-incremental-learning. 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).

progressive-learning-pytorch. Python

complex-synapses. Deep learning implementation of the Benna-Fusi complex synapse model.

pytorch-deep-generative-replay. PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017

pytorch-ewc. PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"

docker. Docker Files

ContinualEvaluation. Continual evaluation for lifelong learning with neural networks.

incremental_cifar100. Implementation of BI-R in T&E framework.