A standard style for README files

[CVPR'22] Official Implementation of "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"

Official PyTorch Implementation of PuriDivER CVPR 2022.

Official Repository for our ICCV2021 paper: Continual Learning on Noisy Data Streams via Self-Purified Replay

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 classi…

Official Repository for our ECCV2020 paper: Imbalanced Continual Learning with Partitioning Reservoir Sampling

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)

Official Implementation of CL-ALFRED (ICLR'24)

[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm

Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

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

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

📑 Online machine learning resources

A repository and benchmark for online test-time adaptation.

PyCIL: A Python Toolbox for Class-Incremental Learning

Class-Incremental Learning: A Survey (TPAMI 2024)

[ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without Forgetting".

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

Continual Model Generalization for Unseen Domains

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.

Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"

Paper list of Continual Learning(Incremental Learning, Overcoming Catastrophic Forgetting)

A curated list of Continual Learning papers and BibTeX entries

Continual Learning papers list, curated by ContinualAI

Relevant papers in Continual Learning

Awesome Incremental Learning

A paper list of our recent survey on continual learning, and other useful resources in this field.