Alternatives and similar repositories for MoE_PromptCL

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

• zugexiaodui / VPTinNSforCL
  Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)
  ☆19Updated 3 weeks ago
• simomagi / elastic_feature_consolidation
  [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
  ☆30Updated 6 months ago
• McDonnell-Research-Lab / RanPAC
  RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper
  ☆57Updated 9 months ago
• IemProg / CoFiMA
  🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"
  ☆31Updated 7 months ago
• naver-ai / dap-cl
  Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"
  ☆43Updated 2 years ago
• GT-RIPL / CODA-Prompt
  PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
  ☆152Updated 2 years ago
• mr-eggplant / FOA
  Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes
  ☆91Updated last year
• LAMDA-CL / RevisitingCIL
  Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
  ☆150Updated last year
• liangyanshuo / InfLoRA
  The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning
  ☆100Updated 8 months ago
• grypesc / SEED
  ICLR2024 paper on Continual Learning
  ☆37Updated last year
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆90Updated last year
• srvCodes / clap4clip
  Code for our NeurIPS´24 paper
  ☆37Updated last year
• GengDavid / SLCA
  SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …
  ☆52Updated last year
• Thunderbeee / ZSCL
  Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
  ☆106Updated last year
• CVIR / ConvPrompt
  ☆24Updated last year
• LzVv123456 / Contrastive-Prototypical-Prompt
  ☆22Updated 8 months ago
• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆60Updated 8 months ago
• xiaocangshengGR / DDGR
  Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.
  ☆39Updated 2 years ago
• alviur / ldc
  Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.
  ☆18Updated last year
• ryongithub / GatedPromptTuning
  ☆55Updated last year
• JH-LEE-KR / dualprompt-pytorch
  PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
  ☆122Updated 2 years ago
• sun-hailong / CVPR24-Ease
  [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.
  ☆77Updated 8 months ago
• linghan1997 / Regression-based-Analytic-Incremental-Learning
  ☆31Updated 9 months ago
• TOM-tym / APG
  Official PyTorch implementation of our ICCV2023 paper “When Prompt-based Incremental Learning Does Not Meet Strong Pretraining”
  ☆16Updated last year
• LAMDA-CL / PROOF
  Learning without Forgetting for Vision-Language Models (TPAMI 2025)
  ☆51Updated 5 months ago
• princetonvisualai / multimodal_dataset_distillation
  ☆61Updated 11 months ago
• Jhyun17 / DeYO
  ☆28Updated last year
• Estrella-fugaz / CVPR25-DUCT
  Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）
  ☆26Updated 6 months ago
• linlany / RAPF
  ☆47Updated 8 months ago
• dipamgoswami / FeCAM
  Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
  ☆41Updated last year