Alternatives and similar repositories for SD-Lora-CL

Users that are interested in SD-Lora-CL are comparing it to the libraries listed below

• zackschen / CoIN
  Instruction Tuning in Continual Learning paradigm
  ☆62Updated 8 months ago
• liangyanshuo / InfLoRA
  The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning
  ☆93Updated 7 months ago
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆75Updated 8 months ago
• JingyangQiao / prompt-gradient-projection
  ☆33Updated last year
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆227Updated 11 months ago
• mengcaopku / Continual-LLaVA
  ☆16Updated 11 months ago
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆52Updated 9 months ago
• linghan1997 / Regression-based-Analytic-Incremental-Learning
  ☆30Updated 8 months ago
• JiazuoYu / MoE-Adapters4CL
  Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024
  ☆254Updated last month
• ECNU-ICALK / CL-MoE
  [CVPR 2025] CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answeri…
  ☆37Updated 4 months ago
• NUS-HPC-AI-Lab / DD-Ranking
  Data distillation benchmark
  ☆70Updated 4 months ago
• LucyDYu / Awesome-Multimodal-Continual-Learning
  ☆146Updated 10 months ago
• lloongx / DIKI
  [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
  ☆54Updated last year
• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆130Updated 11 months ago
• gqk / LAE
  [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning
  ☆88Updated last year
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆157Updated 4 months ago
• 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
• Aboriginer / ZS-NTTA
  [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
  ☆16Updated 8 months ago
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆98Updated last year
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆29Updated last year
• lliai / Awesome-Low-Rank-Adaptation
  Awesome-Low-Rank-Adaptation
  ☆118Updated last year
• mr-eggplant / FOA
  Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes
  ☆89Updated last year
• Minhchuyentoancbn / MoE_PromptCL
  Official implementation of "Mixture of Experts Meets Prompt-Based Continual Learning" (NeurIPS 2024)
  ☆36Updated 3 months ago
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆21Updated last year
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆87Updated 11 months ago
• Purshow / Awesome-LVLM-Hallucination
  ☆51Updated 11 months ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆102Updated last year
• William-wAng618 / M2PT
  Official repo of M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
  ☆27Updated 7 months ago
• Ghy0501 / Awesome-Continual-Learning-in-Generative-Models
  A Comprehensive Survey on Continual Learning in Generative Models.
  ☆81Updated 2 months ago
• Thunderbeee / ZSCL
  Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
  ☆101Updated last year