Alternatives and similar repositories for ContinualEvaluation

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

• INK-USC / GMED
  Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020
  ☆17Updated 2 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆96Updated 2 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
• feyzaakyurek / subspace-reg
  Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification
  ☆30Updated 2 years ago
• oleksost / LMC
  Codebase for the paper titled "Continual learning with local module selection"
  ☆25Updated 3 years ago
• xfflzl / CIM-CIL
  Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning
  ☆25Updated last year
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆124Updated 2 years ago
• pclucas14 / AML
  ☆26Updated 3 years ago
• chrysts / geodesic_continual_learning
  This is a public repository for:
  ☆38Updated 3 years ago
• McDonnell-Research-Lab / RanPAC
  RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper
  ☆49Updated 3 months ago
• Mattdl / ContinualPrototypeEvolution
  Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…
  ☆44Updated 3 years ago
• kangzhiq / NNCSL
  [ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework f…
  ☆23Updated 5 months ago
• danruod / FS-DGPM
  Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".
  ☆16Updated 3 years ago
• xialeiliu / Long-Tailed-CIL
  ☆49Updated 2 years ago
• k-gyuhak / CLOM
  ☆16Updated 2 years ago
• simomagi / elastic_feature_consolidation
  [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
  ☆25Updated last week
• kminsoo / AFC
  ☆57Updated 3 years ago
• AlbinSou / ocl_survey
  Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshop
  ☆38Updated 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
• ContinualAI / clvision-challenge-2023
  Development kit for the CLVISION @ CVPR 2023 Challenge
  ☆18Updated 2 years ago
• YananGu / DVC
  Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"
  ☆24Updated 2 years ago
• Yujun-Shi / CwD
  Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…
  ☆34Updated 2 years ago
• IemProg / CoFiMA
  🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"
  ☆26Updated last month
• eric11220 / pretrained-models-in-CL
  Official repository for Do Pre-trained Models Benefit Equally in Continual Learning? (Accepted to WACV'23)
  ☆25Updated 7 months ago
• JuliousHurtado / meta-training-setup
  This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.
  ☆11Updated 3 years ago
• lywang3081 / CoSCL
  CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)
  ☆18Updated last year
• SSSunQing / Example_Influence_CL
  ☆20Updated 2 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 2 years ago
• oleksost / latent_CL
  Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".
  ☆30Updated 2 years ago
• chaht01 / Co2L
  Co^2L: Contrastive Continual Learning (ICCV2021)
  ☆96Updated 3 years ago