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Top 22 continual-learning open source projects

class-incremental-learning
PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
Continual Learning Data Former
A pytorch compatible data loader to create sequence of tasks for Continual Learning
CPG
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
MetaLifelongLanguage
Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".
CVPR21 PASS
PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
GPM
Official Code Repository for "Gradient Projection Memory for Continual Learning"
CVPR2021 PLOP
Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation
BLIP
Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving
Remembering-for-the-Right-Reasons
Official Implementation of Remembering for the Right Reasons (ICLR 2021)
reproducible-continual-learning
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
OCDVAEContinualLearning
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
ADER
(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]
Adam-NSCL
PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
FUSION
PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
FACIL
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
continual-knowledge-learning
[ICLR 2022] Towards Continual Knowledge Learning of Language Models
1-22 of 22 continual-learning projects