Alternatives and similar repositories for Cost-Free-Incremental-Learning

Users that are interested in Cost-Free-Incremental-Learning are comparing it to the libraries listed below

• kminsoo / AFC
  ☆57Updated 3 years ago
• JoyHuYY1412 / DDE_CIL
  ☆61Updated 3 years ago
• SSSunQing / Example_Influence_CL
  ☆20Updated 2 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
• deeplearning-wisc / opencon
  Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"
  ☆37Updated 2 years ago
• phquang / DualNet
  ☆64Updated 3 years ago
• moukamisama / F2M
  ☆35Updated 3 years ago
• hongjoon0805 / SS-IL-Official
  ☆36Updated 3 years ago
• sud0301 / essentials_for_CIL
  Official repository of the paper 'Essentials for Class Incremental Learning'
  ☆40Updated 3 years ago
• deeplearning-wisc / react
  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
  ☆53Updated 3 years ago
• chaht01 / Co2L
  Co^2L: Contrastive Continual Learning (ICCV2021)
  ☆96Updated 3 years ago
• LAMDA-CL / TPAMI-Limit
  The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)
  ☆36Updated last year
• GT-RIPL / AlwaysBeDreaming-DFCIL
  PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
  ☆64Updated 2 years ago
• LAMDA-CL / CVPR22-Fact
  Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)
  ☆131Updated last year
• zhchuu / continual-learning-reproduce
  Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.
  ☆53Updated 2 years ago
• xialeiliu / Long-Tailed-CIL
  ☆49Updated 2 years ago
• Impression2805 / IL2A
  PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
  ☆37Updated 2 years ago
• xfflzl / CIM-CIL
  Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning
  ☆25Updated 2 years ago
• liuyudut / MUC
  A Generic Multi-classifier Paradigm forIncremental Learning
  ☆11Updated 4 years ago
• YananGu / DVC
  Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"
  ☆25Updated 2 years ago
• ashok-arjun / CSCCT
  Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"
  ☆17Updated 2 years ago
• Anjin-Liu / Openset_Learning_AOSR
  Source code for ICML2021 Paper - Learning Bounds for Open-set Learning
  ☆35Updated 3 years ago
• gydpku / OCM
  ☆29Updated last year
• EricZsy / BalancedKnowledgeDistillation
  Code for "Balanced Knowledge Distillation for Long-tailed Learning"
  ☆27Updated last year
• xialeiliu / GFR-IL
  Generative Feature Replay For Class-Incremental Learning
  ☆37Updated 5 years ago
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆124Updated 2 years ago
• thuml / Batch-Spectral-Shrinkage
  Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
  ☆24Updated 3 years ago
• srvCodes / continual_learning_with_vit
  Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"
  ☆23Updated 2 years ago
• CLwithTransformer / CL_Transformer
  Continual Learning with Transformer
  ☆26Updated 2 years ago
• BIGKnight / Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration
  the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"
  ☆41Updated 3 years ago