There are 19 repositories under lifelong-learning topic.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
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.
✅ ✅ ✅ A massive repo filled with notes on everything from coding to philosophy to psychology to marketing to product
Benchmarking Knowledge Transfer in Lifelong Robot 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.
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
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).
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
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: A Survey (TPAMI 2024)
Life-Disciplines-Projects (LDP) is a life-management framework built within Obsidian. Feel free to transform it for your own personal needs.
Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
This repository collects awesome survey, resource, and paper for lifelong learning LLM agents
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)
Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019
[ACM Computing Surveys 2025] This repository collects awesome survey, resource, and paper for Lifelong Learning with Large Language Models. (Updated Regularly)
This repository is a getting started kit for a lifelong learning system with Obsidian and Anki.
PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
Avalanche fork adding RL support
Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.
CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!
PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch