Alternatives and similar repositories for EWC:

Users that are interested in EWC are comparing it to the libraries listed below

• zqiao11 / TSCIL
  [KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation
  ☆40Updated 8 months ago
• zhoudw-zdw / KDD19-IADM
  Code of KDD'19 paper Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability
  ☆9Updated 3 years ago
• zhchuu / continual-learning-reproduce
  Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.
  ☆51Updated last year
• ngailapdi / LWF
  Implementation of Learning without Forgetting paper
  ☆128Updated 3 years ago
• DRSAD / iCaRL
  ☆98Updated 2 years ago
• mariacer / cl_in_rnns
  Continual Learning in Recurrent Neural Networks
  ☆37Updated 3 years ago
• Mattdl / CLsurvey
  Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …
  ☆201Updated 3 years ago
• donlee90 / icarl
  PyTorch Implementation of iCaRL
  ☆111Updated 5 years ago
• srvCodes / continual-learning-benchmark
  Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance tech…
  ☆51Updated last year
• Wang-ML-Lab / unified-continual-learning
  [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
  ☆39Updated last month
• G-U-N / a-PyTorch-Tutorial-to-Class-Incremental-Learning
  a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.
  ☆93Updated 2 years ago
• lrzpellegrini / icarl-pytorch
  A working PyTorch implementation of the iCaRL algorithm (for Cifar100 experiments)
  ☆10Updated 3 years ago
• tyler-hayes / Deep_SLDA
  PyTorch implementation of the Deep SLDA method from our CVPRW-2020 paper "Lifelong Machine Learning with Deep Streaming Linear Discrimina…
  ☆55Updated 2 years ago
• GMvandeVen / class-incremental-learning
  PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (…
  ☆75Updated 2 years ago
• MehdiAbbanaBennani / continual-learning-ogdplus
  Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)
  ☆42Updated 2 years ago
• CanPeng123 / FSCIL_ALICE
  ☆29Updated last year
• sangwon-jung94 / AGS-CL
  ☆19Updated 4 years ago
• ServiceNow / osaka
  Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…
  ☆105Updated 2 years ago
• optimass / Maximally_Interfered_Retrieval
  Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
  ☆99Updated 2 years ago
• thuml / Domain-Adaptation-Regression
  Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)
  ☆81Updated 3 years ago
• EdenBelouadah / class-incremental-learning
  ☆176Updated 3 years ago
• hongjoon0805 / SS-IL-Official
  ☆35Updated 3 years ago
• NiccoloCavagnero / IncrementalLearning
  Pytorch implementation of iCaRL with some extras.
  ☆15Updated 4 years ago
• kminsoo / AFC
  ☆55Updated 2 years ago
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 3 years ago
• Rhyssiyan / DER-ClassIL.pytorch
  The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021
  ☆158Updated 3 years ago
• AlbinSou / ocl_survey
  Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshop
  ☆37Updated 10 months ago
• sairin1202 / BIC
  pytorch implementation of Large Scale Incremental Learning
  ☆65Updated 4 years ago
• Chain123 / Meta-HAR
  The source code and collected data for the Meta-HAR (WWW 2021) paper.
  ☆32Updated 2 years ago
• Mattdl / ContinualPrototypeEvolution
  Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…
  ☆44Updated 2 years ago