Alternatives and similar repositories for Multi_Head_Mixture_of_Experts__MH-MOE

Users that are interested in Multi_Head_Mixture_of_Experts__MH-MOE are comparing it to the libraries listed below

• kyegomez / Mixture-of-Depths
  Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆99Updated last week
• WailordHe / DenseSSM
  A repository for DenseSSMs
  ☆87Updated last year
• bwconrad / soft-moe
  PyTorch implementation of "From Sparse to Soft Mixtures of Experts"
  ☆58Updated last year
• sramshetty / mixture-of-depths
  An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆35Updated last year
• scale-lab / MTLoRA
  The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)
  ☆55Updated 2 weeks ago
• AmeenAli / HiddenMambaAttn
  Official PyTorch Implementation of "The Hidden Attention of Mamba Models"
  ☆224Updated last year
• Chaos96 / fourierft
  ☆147Updated 10 months ago
• badripatro / mamba360
  State Space Models
  ☆68Updated last year
• RobertCsordas / switchhead
  ☆15Updated last month
• sufenlp / MiLoRA
  [NAACL 2025] MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
  ☆17Updated last month
• MambaMixer / M2
  ☆47Updated last year
• ArmenJeddi / saint
  a training-free approach to accelerate ViTs and VLMs by pruning redundant tokens based on similarity
  ☆29Updated last month
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆126Updated 3 months ago
• kyegomez / MoE-Mamba
  Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Ze…
  ☆107Updated 3 months ago
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆65Updated last year
• SJTU-DeepVisionLab / FLoRA
  ☆39Updated 11 months ago
• Weixin-Liang / Mixture-of-Mamba
  ☆43Updated 5 months ago
• vulus98 / Rethinking-attention
  My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing o…
  ☆43Updated 7 months ago
• GATECH-EIC / Castling-ViT
  [CVPR 2023] Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference
  ☆30Updated last year
• kyegomez / ViTAR
  Implementation of ViTaR: ViTAR: Vision Transformer with Any Resolution in PyTorch
  ☆37Updated 8 months ago
• pengzhangzhi / Awesome-Mamba
  Awesome list of papers that extend Mamba to various applications.
  ☆134Updated last month
• runtsang / VFPT
  Official implementation of NeurIPS 2024 "Visual Fourier Prompt Tuning"
  ☆31Updated 6 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆79Updated last year
• pprp / Pruner-Zero
  [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆89Updated 7 months ago
• Adamdad / rational_kat_cu
  ☆69Updated 5 months ago
• pprp / Vision-Mamba-CIFAR10
  ☆23Updated last year
• csarron / PuMer
  [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
  ☆32Updated 9 months ago
• UCDvision / NOLA
  Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"
  ☆56Updated 10 months ago
• shawnricecake / search-llm
  [NeurIPS 2024] Search for Efficient LLMs
  ☆14Updated 6 months ago
• kyegomez / TTL
  Pytorch Implementation of the paper: "Learning to (Learn at Test Time): RNNs with Expressive Hidden States"
  ☆25Updated 2 weeks ago