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
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.
(CVPR 2021 Oral) Open World Object Detection
NMA deep learning course
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.
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)
Continual Learning papers list, curated by ContinualAI
A clean and simple data loading library for Continual Learning
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
PyCIL: A Python Toolbox for Class-Incremental Learning
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
Continual Learning tutorials and demo running on Google Colaboratory.
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).
Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments
PyContinual (An Easy and Extendible Framework for Continual Learning)
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
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