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

• AmeenAli / HiddenMambaAttn
  Official PyTorch Implementation of "The Hidden Attention of Mamba Models"
  ☆226Updated last year
• scale-lab / MTLoRA
  The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)
  ☆61Updated 2 months ago
• bwconrad / soft-moe
  PyTorch implementation of "From Sparse to Soft Mixtures of Experts"
  ☆62Updated 2 years ago
• pengzhangzhi / Awesome-Mamba
  Awesome list of papers that extend Mamba to various applications.
  ☆136Updated 2 months ago
• kyegomez / Mixture-of-Depths
  Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆104Updated last week
• 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…
  ☆110Updated 3 weeks ago
• WailordHe / DenseSSM
  A repository for DenseSSMs
  ☆88Updated last year
• runtsang / VFPT
  Official implementation of NeurIPS 2024 "Visual Fourier Prompt Tuning"
  ☆34Updated 7 months ago
• MambaMixer / M2
  ☆47Updated last year
• pprp / Vision-Mamba-CIFAR10
  ☆23Updated last year
• badripatro / mamba360
  State Space Models
  ☆70Updated last year
• RobertCsordas / switchhead
  ☆15Updated 2 months ago
• OliverRensu / ARM
  [ICLR2025] This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision
  ☆84Updated 3 months ago
• SJTU-DeepVisionLab / FLoRA
  ☆41Updated last year
• OpenSparseLLMs / CLIP-MoE
  CLIP-MoE: Mixture of Experts for CLIP
  ☆46Updated 10 months ago
• Itamarzimm / UnifiedImplicitAttnRepr
  [ICLR 2025] Official Code Release for Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
  ☆45Updated 6 months ago
• UCDvision / NOLA
  Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"
  ☆56Updated last year
• 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 8 months ago
• kyegomez / SwitchTransformers
  Implementation of Switch Transformers from the paper: "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficien…
  ☆118Updated 2 weeks ago
• Weixin-Liang / Mixture-of-Mamba
  ☆48Updated 7 months ago
• kyegomez / TTL
  Pytorch Implementation of the paper: "Learning to (Learn at Test Time): RNNs with Expressive Hidden States"
  ☆25Updated this week
• UMass-Embodied-AGI / Mod-Squad
  ☆91Updated 2 years ago
• kyegomez / ViTAR
  Implementation of ViTaR: ViTAR: Vision Transformer with Any Resolution in PyTorch
  ☆38Updated 9 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
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆129Updated 4 months ago
• Chaos96 / fourierft
  ☆148Updated 11 months ago
• kyegomez / Simba
  A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series…
  ☆28Updated 9 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆81Updated last year
• sufenlp / MiLoRA
  [NAACL 2025] MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
  ☆17Updated 3 months ago
• Haochen-Wang409 / HPM
  [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining
  ☆102Updated 4 months ago