Alternatives and similar repositories for F2M:

Users that are interested in F2M are comparing it to the libraries listed below

• Impression2805 / IL2A
  PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
  ☆36Updated 2 years ago
• kminsoo / AFC
  ☆56Updated 3 years ago
• Impression2805 / CVPR21_PASS
  PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
  ☆108Updated last year
• chaht01 / Co2L
  Co^2L: Contrastive Continual Learning (ICCV2021)
  ☆95Updated 3 years ago
• Mattdl / ContinualPrototypeEvolution
  Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…
  ☆44Updated 3 years ago
• zhoudw-zdw / CVPR22-Fact
  Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)
  ☆127Updated last year
• JoyHuYY1412 / DDE_CIL
  ☆59Updated 3 years ago
• CanPeng123 / FSCIL_ALICE
  ☆31Updated last year
• zhoudw-zdw / TPAMI-Limit
  The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.
  ☆36Updated last year
• hongjoon0805 / SS-IL-Official
  ☆35Updated 3 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆96Updated 2 years ago
• VisionLearningGroup / OP_Match
  ☆58Updated last year
• feyzaakyurek / subspace-reg
  Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification
  ☆28Updated last year
• xfflzl / CIM-CIL
  Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning
  ☆24Updated last year
• phquang / DualNet
  ☆63Updated 3 years ago
• icoz69 / CEC-CVPR2021
  Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"
  ☆163Updated 3 years ago
• zhchuu / continual-learning-reproduce
  Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.
  ☆53Updated last year
• lywang3081 / AFEC
  AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)
  ☆25Updated last year
• Zoilsen / CLOM
  ☆12Updated 2 years ago
• Haoqing-Wang / CDFSL-ATA
  [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
  ☆66Updated 2 years ago
• 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
• Wang-ML-Lab / unified-continual-learning
  [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
  ☆40Updated 2 months ago
• GT-RIPL / AlwaysBeDreaming-DFCIL
  PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
  ☆62Updated 2 years ago
• mpourkeshavarz / Cost-Free-Incremental-Learning
  ☆23Updated 2 years ago
• gydpku / OCM
  ☆29Updated last year
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆123Updated 2 years ago
• sud0301 / essentials_for_CIL
  Official repository of the paper 'Essentials for Class Incremental Learning'
  ☆40Updated 3 years ago
• zhangbq-research / Prototype_Completion_for_FSL
  ☆58Updated 3 years ago
• CLwithTransformer / CL_Transformer
  Continual Learning with Transformer
  ☆26Updated 2 years ago
• xialeiliu / GFR-IL
  Generative Feature Replay For Class-Incremental Learning
  ☆37Updated 4 years ago