Alternatives and similar repositories for MoE

Users that are interested in MoE are comparing it to the libraries listed below

• badripatro / mamba360
  State Space Models
  ☆71Updated 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)
  ☆81Updated 2 years ago
• Weixin-Liang / Mixture-of-Mamba
  ☆50Updated 10 months ago
• kyegomez / MambaTransformer
  Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
  ☆211Updated 2 months ago
• WailordHe / DenseSSM
  A repository for DenseSSMs
  ☆89Updated last year
• prateeky2806 / ties-merging
  ☆201Updated last year
• pengzhangzhi / Awesome-Mamba
  Awesome list of papers that extend Mamba to various applications.
  ☆139Updated 6 months ago
• kyegomez / Griffin
  Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
  ☆56Updated last month
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆94Updated 2 weeks ago
• wang-kee / LiNeS
  Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"
  ☆31Updated last year
• tum-ai / number-token-loss
  A regression-alike loss to improve numerical reasoning in language models - ICML 2025
  ☆27Updated 4 months ago
• EPFLiGHT / MultiModN
  MultiModN – Multimodal, Multi-Task, Interpretable Modular Networks (NeurIPS 2023)
  ☆35Updated 2 years ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆85Updated last year
• OpenNLPLab / HGRN2
  HGRN2: Gated Linear RNNs with State Expansion
  ☆56Updated last year
• MadryLab / modelcomponents
  Decomposing and Editing Predictions by Modeling Model Computation
  ☆139Updated last year
• Chaos96 / fourierft
  ☆152Updated last year
• naver-ai / model-stock
  Model Stock: All we need is just a few fine-tuned models
  ☆128Updated 4 months ago
• uclaml / PDE
  Official repo of Progressive Data Expansion: data, code and evaluation
  ☆29Updated 2 years ago
• ExplainableML / fomo_in_flux
  Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
  ☆61Updated last year
• JJchy / CG_score
  Data Valuation without Training of a Model, submitted to ICLR'23
  ☆22Updated 2 years ago
• jacobmarks / awesome-neurips-2023
  Conference schedule, top papers, and analysis of the data for NeurIPS 2023!
  ☆121Updated 2 years ago
• AmeenAli / HiddenMambaAttn
  Official PyTorch Implementation of "The Hidden Attention of Mamba Models"
  ☆231Updated 2 months ago
• assafbk / DeciMamba
  DeciMamba: Exploring the Length Extrapolation Potential of Mamba (ICLR 2025)
  ☆31Updated 8 months ago
• VijayLingam95 / SVFT
  ☆34Updated 10 months ago
• Itamarzimm / UnifiedImplicitAttnRepr
  [ICLR 2025] Official Code Release for Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
  ☆47Updated 9 months ago
• gstoica27 / KnOTS
  Model Merging with SVD to Tie the KnOTS [ICLR 2025]
  ☆80Updated 8 months ago
• PKU-ML / non_neg
  Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
  ☆46Updated last year
• r-three / smear
  ☆30Updated 2 years ago
• abdelwahed / OT_for_big_data
  Optimal Transport in the Big Data Era
  ☆113Updated last year
• LUMIA-Group / FourierTransformer
  The official Pytorch implementation of the paper "Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT …
  ☆39Updated last year