21 Open source projects that are alternatives of or similar to continual-knowledge-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).

One Person, One Model, One World: Learning Continual User Representation without Forgetting

A pytorch compatible data loader to create sequence of tasks for Continual Learning

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

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!

NMA deep learning course

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

Official Code Repository for "Gradient Projection Memory for Continual Learning"

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving

Official Implementation of Remembering for the Right Reasons (ICLR 2021)

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]

PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

No description or website provided.

Class Normalization for Continual Zero-Shot Learning

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

What I consider the best practices for web and software development.