Alternatives and similar repositories for CwD:

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

• chrysts / geodesic_continual_learning
  This is a public repository for:
  ☆38Updated 3 years ago
• xialeiliu / Long-Tailed-CIL
  ☆48Updated last year
• 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
• xfflzl / CIM-CIL
  Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning
  ☆24Updated 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
• JosephKJ / ELI
  (CVPR 2022) Energy-based Latent Aligner for Incremental Learning
  ☆50Updated 2 years ago
• fiveai / LAME
  This code accompanies the paper "Parameter-free Online Test-time Adaptation".
  ☆68Updated 2 years ago
• JoyHuYY1412 / DDE_CIL
  ☆59Updated 3 years ago
• bbbdylan / proda
  [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning
  ☆18Updated last year
• danruod / FS-DGPM
  Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".
  ☆16Updated 3 years ago
• Zhanxin-Gao / CPrompt
  Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]
  ☆31Updated 9 months ago
• lisadunlap / LADS
  Official Implementation of LADS (Latent Augmentation using Domain descriptionS)
  ☆49Updated last year
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated last year
• srvCodes / continual_learning_with_vit
  Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"
  ☆22Updated 2 years ago
• zhukaii / SSRE
  Code for "Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning"
  ☆19Updated 2 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• YUE-FAN / CoSSL
  Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…
  ☆53Updated 2 years ago
• Gorilla-Lab-SCUT / TTAC
  [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
  ☆47Updated last year
• Impression2805 / IL2A
  PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
  ☆36Updated 2 years ago
• ojedaf / vCLIMB_Benchmark
  ☆29Updated last year
• JoyHuYY1412 / Class_Imbalanced_Semi_Supervised_Learning
  ☆17Updated 2 years ago
• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆65Updated 3 years ago
• feifeiobama / InfluenceCL
  [CVPR 2023] Regularizing Second-Order Influences for Continual Learning
  ☆34Updated last year
• simpleshinobu / IRMCon
  Implementation for ECCV 2022 Paper "Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generali…
  ☆18Updated 2 years ago
• asrafulashiq / transfer_broad
  Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)
  ☆36Updated 3 years ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• gydpku / OCM
  ☆29Updated last year
• JiahuaDong / HFC
  [ICCV-2023] Heterogeneous Forgetting Compensation for Class-Incremental Learning
  ☆12Updated last year
• xyupeng / BETA
  [ICLR 2023 Spotlight] Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
  ☆39Updated last year
• UCSC-VLAA / EVP
  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
  ☆39Updated 10 months ago