This repository provides PyTorch implementations of various continual learning algorithms including XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, and Generative Classifier. It supports experiments in class-incremental, domain-incremental, and task-incremental learning scenarios. The methods address catastrophic forgetting in deep neural networks using techniques such as elastic weight consolidation, generative replay, gradient episodic memory, and variational autoencoders.