Alternatives and similar repositories for soft-moe

Users that are interested in soft-moe are comparing it to the libraries listed below

• eric-ai-lab / PEViT
  Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
  ☆105Updated 2 years ago
• 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)
  ☆79Updated 2 years ago
• WailordHe / DenseSSM
  A repository for DenseSSMs
  ☆89Updated last year
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆33Updated 2 years ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆85Updated last year
• YeonwooSung / LIMoE-pytorch
  PyTorch implementation of LIMoE
  ☆52Updated last year
• PKU-ML / non_neg
  Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
  ☆46Updated last year
• scale-lab / MTLoRA
  The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)
  ☆69Updated 5 months ago
• ExplainableML / fomo_in_flux
  Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
  ☆60Updated last year
• swaggy-TN / EfficientVLM
  EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning (ACL 2023)
  ☆32Updated 2 years ago
• UMass-Embodied-AGI / Mod-Squad
  ☆91Updated 2 years ago
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆68Updated 2 years ago
• VITA-Group / Diverse-ViT
  [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…
  ☆25Updated 3 years ago
• TencentARC / pi-Tuning
  Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.
  ☆33Updated 2 years ago
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆137Updated 8 months ago
• mlvlab / TokenMixup
  Official pytorch implementation of NeurIPS 2022 paper, TokenMixup
  ☆48Updated 3 years ago
• AmeenAli / HiddenMambaAttn
  Official PyTorch Implementation of "The Hidden Attention of Mamba Models"
  ☆231Updated last month
• UCDvision / NOLA
  Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"
  ☆57Updated last year
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆57Updated 2 years ago
• james-oldfield / muMoE
  [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
  ☆37Updated last year
• Optimization-AI / FastCLIP
  Distributed Optimization Infra for learning CLIP models
  ☆27Updated last year
• OscarXZQ / weight-selection
  ☆187Updated last year
• shoaibahmed / blockwise_ssl
  Repository containing code for blockwise SSL training
  ☆30Updated last year
• lucidrains / soft-moe-pytorch
  Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch
  ☆337Updated 8 months ago
• Pbihao / SLM
  ☆28Updated last year
• yikangshen / MoA
  Mixture of Attention Heads
  ☆51Updated 3 years ago
• HKUNLP / efficient-attention
  [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling
  ☆87Updated 2 years ago
• OliverRensu / ARM
  [ICLR2025] This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision
  ☆87Updated 6 months ago
• WillDreamer / Aurora
  [NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
  ☆88Updated 2 years ago
• bfshi / TOAST
  Official code for "TOAST: Transfer Learning via Attention Steering"
  ☆188Updated 2 years ago