continual-learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

collection of diffusion model papers categorized by their subareas

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.

(CVPR 2021 Oral) Open World Object Detection

PyCIL: A Python Toolbox for Class-Incremental Learning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

NMA deep learning course

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

Continual Learning papers list, curated by ContinualAI

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

Evaluate three types of task shifting with popular continual learning algorithms.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

[CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey

A clean and simple data loading library for Continual Learning

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and survey (Neurocomputing).