FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
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Updated
Sep 3, 2022
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
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.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
NMA deep learning course
(CVPR 2021 Oral) Open World Object Detection
PyCIL: A Python Toolbox for Class-Incremental Learning
Continual Learning tutorials and demo running on Google Colaboratory.
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.
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
PyContinual (An Easy and Extendible Framework for Continual Learning)
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
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).
Lifelong Learning with Dynamically Expandable Networks, ICLR 2018
Awesome Machine Unlearning (A Survey of Machine Unlearning)
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
Continual Learning papers list, curated by ContinualAI
A clean and simple data loading library for Continual Learning
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