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

• bwconrad / soft-moe
  PyTorch implementation of "From Sparse to Soft Mixtures of Experts"
  ☆66Updated 2 years ago
• scale-lab / MTLoRA
  The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)
  ☆69Updated 4 months ago
• kyegomez / Mixture-of-Depths
  Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆110Updated last week
• AmeenAli / HiddenMambaAttn
  Official PyTorch Implementation of "The Hidden Attention of Mamba Models"
  ☆229Updated last month
• RobertCsordas / switchhead
  ☆16Updated 5 months ago
• WailordHe / DenseSSM
  A repository for DenseSSMs
  ☆89Updated last year
• 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…
  ☆115Updated last month
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆135Updated 7 months ago
• OliverRensu / ARM
  [ICLR2025] This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision
  ☆87Updated 6 months ago
• UCDvision / NOLA
  Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"
  ☆57Updated last year
• MambaMixer / M2
  ☆48Updated last year
• SJTU-DeepVisionLab / FLoRA
  ☆41Updated last year
• fkodom / soft-mixture-of-experts
  PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)
  ☆78Updated 2 years ago
• kyegomez / ViTAR
  Implementation of ViTaR: ViTAR: Vision Transformer with Any Resolution in PyTorch
  ☆38Updated last year
• badripatro / mamba360
  State Space Models
  ☆71Updated last year
• Weixin-Liang / Mixture-of-Mamba
  ☆50Updated 10 months ago
• UMass-Embodied-AGI / Mod-Squad
  ☆91Updated 2 years ago
• fistyee / MixPro
  🔥MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer [Official, ICLR 2023]
  ☆21Updated 2 years ago
• Chaos96 / fourierft
  ☆149Updated last year
• pengzhangzhi / Awesome-Mamba
  Awesome list of papers that extend Mamba to various applications.
  ☆139Updated 5 months ago
• YeonwooSung / LIMoE-pytorch
  PyTorch implementation of LIMoE
  ☆52Updated last year
• OpenSparseLLMs / CLIP-MoE
  CLIP-MoE: Mixture of Experts for CLIP
  ☆49Updated last year
• runtsang / VFPT
  【NeurIPS 2024】Official implementation of "Visual Fourier Prompt Tuning"
  ☆36Updated 10 months ago
• Haochen-Wang409 / HPM
  [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining
  ☆105Updated 7 months ago
• hammoudhasan / DiffCLIP
  Official Implementation of DiffCLIP: Differential Attention Meets CLIP
  ☆47Updated 8 months ago
• techmonsterwang / iLLaMA
  Adapting LLaMA Decoder to Vision Transformer
  ☆30Updated last year
• kyegomez / LIMoE
  Implementation of the "the first large-scale multimodal mixture of experts models." from the paper: "Multimodal Contrastive Learning with…
  ☆36Updated last month
• sufenlp / MiLoRA
  [NAACL 2025] MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
  ☆19Updated 6 months ago
• csarron / PuMer
  [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
  ☆36Updated last year
• OPTML-Group / Robust-MoE-CNN
  [ICCV23] Robust Mixture-of-Expert Training for Convolutional Neural Networks by Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Hua…
  ☆66Updated 2 years ago