Alternatives and similar repositories for cl-teacher-adaptation

Users that are interested in cl-teacher-adaptation are comparing it to the libraries listed below

• lianziqt / CFeD
  ☆23Updated 3 years ago
• SaraBabakN / MFCL-NeurIPS23
  ☆21Updated last year
• LAMDA-CL / Awesome-Few-Shot-Class-Incremental-Learning
  Awesome Few-Shot Class-Incremental Learning
  ☆248Updated 2 years ago
• zj-jayzhang / Federated-Class-Continual-Learning
  This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)
  ☆51Updated last year
• LAMDA-CL / CIL_Survey
  Class-Incremental Learning: A Survey (TPAMI 2024)
  ☆278Updated last year
• dipamgoswami / FeCAM
  Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
  ☆41Updated last year
• yonseivnl / earl
  ☆17Updated last week
• nazmul-karim170 / CNLL
  [CVPR'22] Official Implementation of "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"
  ☆18Updated last year
• sun-hailong / CVPR24-Ease
  [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.
  ☆80Updated 10 months ago
• ShiWuxuan / ICCV2023-PRAKA
  [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning
  ☆31Updated last year
• bwnzheng / MRFA_ICML2024
  The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)
  ☆11Updated last year
• DRSAD / iCaRL
  ☆101Updated 3 years ago
• Rhyssiyan / DER-ClassIL.pytorch
  The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021
  ☆169Updated 4 years ago
• naderAsadi / Probing-Continual-Learning
  ☆10Updated 2 years ago
• 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.
  ☆107Updated 4 months ago
• Wang-ML-Lab / unified-continual-learning
  [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
  ☆51Updated last year
• luopanyaxin / Federated-Continual-Learning
  ☆14Updated 3 years ago
• Impression2805 / IL2A
  PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
  ☆40Updated 3 years ago
• wyjeong / FedWeIT
  This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer
  ☆116Updated 4 years ago
• conditionWang / FCIL
  This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.
  ☆118Updated 2 years ago
• bwnzheng / TagFex_CVPR2025
  The code repository for "Task-Agnostic Guided Feature Expansion for Class-Incremental Learning" (CVPR25)
  ☆24Updated last month
• lrzpellegrini / icarl-pytorch
  A working PyTorch implementation of the iCaRL algorithm (for Cifar100 experiments)
  ☆13Updated 4 years ago
• mmasana / FACIL
  Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
  ☆558Updated 2 years ago
• CVIR / contracon
  ☆15Updated 2 years ago
• piaohongming / Powder
  ☆18Updated last year
• k-gyuhak / CLOOD
  ☆11Updated 2 years ago
• wangkiw / TEEN
  The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch
  ☆68Updated 2 years ago
• PEILab-Federated-Learning / PromptFL
  PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model
  ☆43Updated 2 years ago
• JH-LEE-KR / l2p-pytorch
  PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22
  ☆203Updated 2 years ago
• AlbinSou / ocl_survey
  Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshop
  ☆43Updated last year