Alternatives and similar repositories for FS-DGPM

Users that are interested in FS-DGPM are comparing it to the libraries listed below

• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆99Updated 2 years ago
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆49Updated 3 years ago
• jaehong31 / APD
  "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020
  ☆23Updated 3 years ago
• Mattdl / ContinualEvaluation
  [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.
  ☆30Updated 2 years ago
• chaht01 / Co2L
  Co^2L: Contrastive Continual Learning (ICCV2021)
  ☆99Updated 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
  ☆57Updated 11 months ago
• Yujun-Shi / CwD
  Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…
  ☆35Updated 2 years ago
• phquang / DualNet
  ☆67Updated 3 years ago
• snap-stanford / orca
  [ICLR 2022] Open-World Semi-Supervised Learning
  ☆106Updated 3 years ago
• dvirsamuel / DRO-LT
  Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
  ☆32Updated 4 years ago
• Impression2805 / IL2A
  PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
  ☆40Updated 3 years ago
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆126Updated 3 years ago
• YananGu / DVC
  Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"
  ☆27Updated 3 years ago
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆90Updated last year
• kminsoo / AFC
  ☆60Updated 3 years ago
• moukamisama / F2M
  ☆35Updated 4 years ago
• oleksost / LMC
  Codebase for the paper titled "Continual learning with local module selection"
  ☆25Updated 4 years ago
• LAMDA-CL / RevisitingCIL
  Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
  ☆153Updated last year
• INK-USC / GMED
  Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020
  ☆17Updated 3 years ago
• jhairgallardo / awesome-continual-self-supervised-learning
  List of papers that combine self-supervision and continual learning
  ☆75Updated 10 months ago
• feifeiobama / InfluenceCL
  [CVPR 2023] Regularizing Second-Order Influences for Continual Learning
  ☆37Updated 2 years ago
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆63Updated 2 years ago
• zhangmarvin / memo
  ☆72Updated 2 years ago
• YaqianZhang / RepeatedAugmentedRehearsal
  ☆13Updated 2 years ago
• pclucas14 / AML
  ☆29Updated 4 years ago
• srvCodes / continual_learning_with_vit
  Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"
  ☆24Updated 3 years ago
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆40Updated last year
• xfflzl / CIM-CIL
  Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning
  ☆26Updated 2 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 3 years ago
• LINs-lab / ttab
  [ICML 2023] On Pitfalls of Test-Time Adaptation
  ☆124Updated last year