Alternatives and similar repositories for LGTM

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

• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆31Updated 2 years ago
• cliang1453 / task-aware-distillation
  Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)
  ☆35Updated last year
• csarron / PuMer
  [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
  ☆30Updated 8 months ago
• Yangyi-Chen / CoTConsistency
  The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".
  ☆33Updated last year
• fuzihaofzh / AnalyzeParameterEfficientFinetune
  On the Effectiveness of Parameter-Efficient Fine-Tuning
  ☆38Updated last year
• arazd / ResidualPrompts
  Residual Prompt Tuning: a method for faster and better prompt tuning.
  ☆54Updated 2 years ago
• TencentARC / pi-Tuning
  Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.
  ☆33Updated last year
• yikangshen / MoA
  Mixture of Attention Heads
  ☆47Updated 2 years ago
• HenryHZY / VL-PET
  [ICCV2023] Official code for "VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control"
  ☆53Updated last year
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆42Updated 8 months ago
• yale-nlp / refdpo
  ☆16Updated 11 months ago
• LooperXX / ManagerTower
  Code for ACL 2023 Oral Paper: ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning
  ☆11Updated 6 months ago
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆52Updated 2 years ago
• ShiZhengyan / DePT
  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
  ☆96Updated last year
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆39Updated last year
• RUCAIBox / JiuZhang3.0
  The code and data for the paper JiuZhang3.0
  ☆47Updated last year
• r-three / smear
  ☆29Updated last year
• lancopku / DynamicKD
  Code for EMNLP 2021 main conference paper "Dynamic Knowledge Distillation for Pre-trained Language Models"
  ☆41Updated 2 years ago
• HYPJUDY / Sparkles
  Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models
  ☆44Updated last year
• amazon-science / peft-design-spaces
  Official implementation for "Parameter-Efficient Fine-Tuning Design Spaces"
  ☆26Updated 2 years ago
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆39Updated last year
• shizhediao / Black-Box-Prompt-Learning
  Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"
  ☆55Updated last year
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆32Updated last year
• JiwanChung / vlis
  ☆24Updated last year
• Wang-ML-Lab / multimodal-needle-in-a-haystack
  [NAACL 2025 Oral] Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models
  ☆46Updated last month
• Alsace08 / OOD-Math-Reasoning
  [NeurIPS 2024] Code and Data Repo for Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"
  ☆26Updated last year
• aeroplanepaper / GRPO-LEAD
  ☆18Updated last month
• mshukor / eP-ALM
  [ICCV23] Official implementation of eP-ALM: Efficient Perceptual Augmentation of Language Models.
  ☆27Updated last year
• HKUNLP / efficient-attention
  [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling
  ☆86Updated 2 years ago
• tianyi-lab / Mosaic-IT
  [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
  ☆19Updated this week