Research
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.
[READ ONLY] Refer to gitlab repo for updated version - Total Knowledge of I/O Reference Implementation. Please see wiki for contribution guidelines.
Continual Learning papers list, curated by ContinualAI
Relevant papers in Continual Learning
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
A clean and simple data loading library for Continual Learning
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)
cluster data collected from production clusters in Alibaba for cluster management research
CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services
Algorithms for outlier, adversarial and drift detection
ruptures: change point detection in Python
Python library for fluorescence microscopy data anlysis
Continual Learning in Recurrent Neural Networks
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and survey (Neurocomputing).