Alternatives and similar repositories for TLM

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

• zackschen / CoIN
  Instruction Tuning in Continual Learning paradigm
  ☆68Updated 11 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆98Updated last year
• mengcaopku / Continual-LLaVA
  ☆16Updated last year
• tmlr-group / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆21Updated last year
• yfzhang114 / LLaVA-Align
  [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…
  ☆82Updated 10 months ago
• mrflogs / ICLR24
  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
  ☆85Updated last year
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆53Updated 11 months ago
• Pbihao / SLM
  ☆28Updated last year
• GeWu-Lab / MokA
  MokA: Multimodal Low-Rank Adaptation for MLLMs
  ☆62Updated last week
• linghan1997 / Regression-based-Analytic-Incremental-Learning
  ☆32Updated 10 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆74Updated 10 months ago
• The-Martyr / CausalMM
  [ICLR 2025] Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
  ☆60Updated 6 months ago
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆45Updated 9 months ago
• mr-eggplant / FOA
  Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes
  ☆92Updated last year
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆30Updated last year
• zefang-liu / AdaMoLE
  AdaMoLE: Adaptive Mixture of LoRA Experts
  ☆38Updated last year
• tmllab / 2024_ICML_DICL
  ☆18Updated last year
• shengliu66 / VTI
  Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering
  ☆99Updated last year
• LiaoMengqi / HMoRA
  [ ICLR 2025 ] Making LLMs More Effective with Hierarchical Mixture of LoRA Experts
  ☆24Updated 3 months ago
• simplelifetime / TIVE
  Less is More: High-value Data Selection for Visual Instruction Tuning
  ☆17Updated 11 months ago
• zjunlp / Deco
  [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
  ☆127Updated 3 months ago
• OpenSparseLLMs / CLIP-MoE
  CLIP-MoE: Mixture of Experts for CLIP
  ☆51Updated last year
• clemneo / llava-interp
  ☆77Updated last year
• 1zhou-Wang / MemVR
  [ICML 2025] Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in…
  ☆180Updated 3 months ago
• elaine-sui / TPS
  ☆22Updated 3 weeks ago
• scale-lab / MTLoRA
  The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)
  ☆69Updated 6 months ago
• LucyDYu / Awesome-Multimodal-Continual-Learning
  ☆150Updated last year
• PLUM-Lab / MixLoRA
  Multimodal Instruction Tuning with Conditional Mixture of LoRA (ACL 2024)
  ☆31Updated last year
• Thunderbeee / ZSCL
  Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
  ☆106Updated last year
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆112Updated last year