Alternatives and similar repositories for OCS:

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

• chaht01 / Co2L
  Co^2L: Contrastive Continual Learning (ICCV2021)
  ☆94Updated 2 years ago
• Impression2805 / IL2A
  PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
  ☆36Updated 2 years ago
• kminsoo / AFC
  ☆56Updated 2 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆96Updated 2 years ago
• naver-ai / dap-cl
  Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"
  ☆42Updated last year
• CanPeng123 / FSCIL_ALICE
  ☆29Updated last year
• Impression2805 / CVPR21_PASS
  PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
  ☆108Updated last year
• xfflzl / CIM-CIL
  Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning
  ☆24Updated last year
• pclucas14 / AML
  ☆25Updated 3 years ago
• dipamgoswami / FeCAM
  Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
  ☆37Updated 4 months ago
• YaqianZhang / RepeatedAugmentedRehearsal
  ☆13Updated last year
• YananGu / DVC
  Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"
  ☆24Updated 2 years ago
• srvCodes / continual_learning_with_vit
  Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"
  ☆22Updated 2 years ago
• McDonnell-Research-Lab / RanPAC
  RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper
  ☆44Updated last month
• hongjoon0805 / SS-IL-Official
  ☆35Updated 3 years ago
• Wang-ML-Lab / unified-continual-learning
  [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
  ☆40Updated 2 months ago
• feyzaakyurek / subspace-reg
  Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification
  ☆28Updated last year
• wangkiw / ICLR23-MEMO
  The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch
  ☆41Updated 2 years ago
• yonseivnl / earl
  ☆15Updated 6 months ago
• naderAsadi / CLHive
  A PyTorch framework for Continual Learning research.
  ☆20Updated last year
• clovaai / puridiver
  Official PyTorch Implementation of PuriDivER CVPR 2022.
  ☆45Updated 2 years ago
• neu-spiral / SparCL
  SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22
  ☆29Updated last year
• Mattdl / RehearsalRevealed
  Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.
  ☆27Updated 3 years ago
• feifeiobama / InfluenceCL
  [CVPR 2023] Regularizing Second-Order Influences for Continual Learning
  ☆34Updated last year
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆122Updated 2 years ago
• danruod / FS-DGPM
  Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".
  ☆16Updated 3 years ago
• bigdata-inha / Split-and-Bridge
  (AAAI 2021) Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
  ☆24Updated 4 years ago
• gydpku / OCM
  ☆29Updated last year
• NeurAI-Lab / CLS-ER
  The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Lea…
  ☆47Updated last year
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆44Updated 2 years ago