Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
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Updated
Mar 23, 2023 - Python
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.
Evaluate three types of task shifting with popular continual learning algorithms.
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Continual Learning papers list, curated by ContinualAI
A clean and simple data loading library for Continual Learning
PyCIL: A Python Toolbox for Class-Incremental Learning
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
VOSK Speech Recognition Toolkit
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
Life-Disciplines-Projects (LDP) is a life-management framework built within Obsidian. Feel free to transform it for your own personal needs.
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
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
The code repository for "Deep Class-Incremental Learning: A Survey" in PyTorch.
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