Alternatives and similar repositories for soft-moe:

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

• 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…
  ☆48Updated 2 years ago
• TsinghuaC3I / SoRA
  [EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆72Updated 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)
  ☆71Updated last year
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆31Updated last year
• TencentARC / pi-Tuning
  Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.
  ☆32Updated last year
• ExplainableML / fomo_in_flux
  Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
  ☆53Updated 3 months ago
• HKUNLP / efficient-attention
  [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling
  ☆82Updated 2 years ago
• scale-lab / MTLoRA
  The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)
  ☆43Updated last week
• UMass-Embodied-AGI / Mod-Squad
  ☆84Updated last year
• WailordHe / DenseSSM
  A repository for DenseSSMs
  ☆87Updated 11 months ago
• swaggy-TN / EfficientVLM
  EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning (ACL 2023)
  ☆25Updated last year
• yikangshen / MoA
  Mixture of Attention Heads
  ☆41Updated 2 years ago
• zju-vipa / training_free_model_merging
  This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).
  ☆29Updated last year
• NUS-HPC-AI-Lab / Dynamic-Tuning
  The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"
  ☆43Updated 2 months ago
• xiangyu-mm / EasyGen
  The official code for paper "EasyGen: Easing Multimodal Generation with a Bidirectional Conditional Diffusion Model and LLMs"
  ☆73Updated 4 months ago
• chuanyang-Zheng / DAPE
  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"
  ☆37Updated 5 months ago
• wjxts / RegularizedBN
  ☆21Updated 2 years ago
• eric-ai-lab / PEViT
  Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
  ☆104Updated last year
• YeonwooSung / LIMoE-pytorch
  PyTorch implementation of LIMoE
  ☆53Updated 11 months ago
• techmonsterwang / iLLaMA
  Adapting LLaMA Decoder to Vision Transformer
  ☆27Updated 10 months ago
• naotoo1 / Beyond-Neural-Scaling
  Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models
  ☆33Updated 3 months ago
• aim-uofa / LoRAPrune
  ☆48Updated 3 months ago
• changlin31 / AutoProg
  (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers
  ☆25Updated 3 weeks ago
• PKU-ML / non_neg
  Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
  ☆40Updated 11 months ago
• leo-yangli / VB-LoRA
  This repo contains the source code for VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks (NeurIPS 2024).
  ☆37Updated 5 months ago
• tianyu-z / VCR
  Official Repo for the paper: VCR: Visual Caption Restoration. Check arxiv.org/pdf/2406.06462 for details.
  ☆30Updated 3 weeks ago
• wutaiqiang / MoSLoRA
  ☆100Updated 8 months ago
• berlino / gated_linear_attention
  ☆101Updated last year
• twinkle0331 / LGTM
  [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…
  ☆38Updated last year
• zzp1012 / LLFC
  [NeurIPS 2023] Code release for "Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity"
  ☆17Updated last year