Alternatives and similar repositories for Awesome-Continual-Leaning-with-PTMs

Users that are interested in Awesome-Continual-Leaning-with-PTMs are comparing it to the libraries listed below

• LucyDYu / Awesome-Multimodal-Continual-Learning
  ☆146Updated 10 months ago
• linghan1997 / Regression-based-Analytic-Incremental-Learning
  ☆30Updated 8 months ago
• LAMDA-CL / PROOF
  Learning without Forgetting for Vision-Language Models (TPAMI 2025)
  ☆45Updated 3 months ago
• JiazuoYu / MoE-Adapters4CL
  Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024
  ☆253Updated last month
• xiaocangshengGR / DDGR
  Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.
  ☆39Updated 2 years ago
• ZHUANGHP / Analytic-federated-learning
  This repo will be continually updating analytic federated learning methods.
  ☆64Updated 7 months ago
• liangyanshuo / InfLoRA
  The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning
  ☆92Updated 7 months ago
• LAMDA-CL / RevisitingCIL
  Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
  ☆149Updated last year
• donghao51 / Awesome-Multimodal-Adaptation
  Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models
  ☆134Updated this week
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆87Updated 11 months ago
• dipamgoswami / ADC
  Code for CVPR 2024 paper - Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
  ☆30Updated 11 months ago
• lywang3081 / Awesome-Continual-Learning
  A paper list of our recent survey on continual learning, and other useful resources in this field.
  ☆91Updated last year
• YuyangSunshine / Awesome-Continual-learning-of-Vision-Language-Models
  Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting
  ☆103Updated last week
• bjzhb666 / GS-LoRA
  Continual Forgetting for Pre-trained Vision Models (CVPR 2024)
  ☆68Updated 3 months ago
• runtsang / VFPT
  【NeurIPS 2024】Official implementation of "Visual Fourier Prompt Tuning"
  ☆36Updated 9 months ago
• leo-yangli / VB-LoRA
  This repo contains the source code for VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks (NeurIPS 2024).
  ☆42Updated last year
• Koorye / DePT
  [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"
  ☆108Updated 5 months ago
• Yangsenqiao / Awesome-Continual-Test-Time-Adaptation
  Collection of awesome Continual Test-Time Adaptation methods
  ☆22Updated last year
• WillDreamer / Aurora
  [NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
  ☆88Updated last year
• mr-eggplant / FOA
  Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes
  ☆89Updated last year
• JiuTian-VL / MoME
  [NeurIPS 2024] MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
  ☆72Updated 5 months ago
• srvCodes / clap4clip
  Code for our NeurIPS´24 paper
  ☆36Updated last year
• cosword / meta-paper-daily
  定时获取谷歌学术和arxiv论文的相关更新 (代码只有一个py文件，较简单有注释)
  ☆70Updated 10 months ago
• yunncheng / MMRL
  [CVPR 2025] Official PyTorch Code for "MMRL: Multi-Modal Representation Learning for Vision-Language Models" and its extension "MMRL++: P…
  ☆81Updated 4 months ago
• Koorye / SkipTuning
  [CVPR 2025] Offical implementation of the paper "Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters The…
  ☆22Updated 8 months ago
• DoubleClass / GMM
  Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]
  ☆49Updated 11 months ago
• Thunderbeee / ZSCL
  Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
  ☆101Updated last year
• KU-VGI / PriViLege
  [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
  ☆53Updated last year
• vanity1129 / AttriCLIP
  CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
  ☆15Updated 2 years ago
• McDonnell-Research-Lab / RanPAC
  RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper
  ☆54Updated 8 months ago