Alternatives and similar repositories for soft-mixture-of-experts:

Users that are interested in soft-mixture-of-experts are comparing it to the libraries listed below

• bwconrad / soft-moe
  PyTorch implementation of "From Sparse to Soft Mixtures of Experts"
  ☆56Updated last year
• lucidrains / pause-transformer
  Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…
  ☆53Updated last year
• OpenNLPLab / HGRN
  [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…
  ☆64Updated last year
• RobertCsordas / moe_attention
  Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"
  ☆97Updated 7 months ago
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆66Updated 7 months ago
• lucidrains / infini-transformer-pytorch
  Implementation of Infini-Transformer in Pytorch
  ☆110Updated 4 months ago
• 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…
  ☆51Updated 2 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• srush / mamba-primer
  ☆37Updated last year
• lucidrains / soft-moe-pytorch
  Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch
  ☆286Updated last month
• wjxts / RegularizedBN
  ☆21Updated 2 years ago
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆31Updated last year
• uclaml / MoE
  Towards Understanding the Mixture-of-Experts Layer in Deep Learning
  ☆28Updated last year
• dkopi / Bitune
  Implementation of Bitune: Bidirectional Instruction-Tuning
  ☆19Updated 11 months ago
• OpenNLPLab / HGRN2
  HGRN2: Gated Linear RNNs with State Expansion
  ☆54Updated 8 months ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆30Updated last year
• RobertCsordas / moe
  Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"
  ☆37Updated last year
• pkuzengqi / Skyformer
  Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
  ☆60Updated 3 years ago
• lucidrains / mixture-of-attention
  Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts
  ☆118Updated 6 months ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated 2 years ago
• nverma1 / merging-text-transformers
  Code for "Merging Text Transformers from Different Initializations"
  ☆20Updated 3 months ago
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆159Updated last year
• Qualcomm-AI-research / llm-surgeon
  ☆29Updated 11 months ago
• OscarXZQ / weight-selection
  ☆179Updated 7 months ago
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆51Updated 2 months ago
• lucidrains / zorro-pytorch
  Implementation of Zorro, Masked Multimodal Transformer, in Pytorch
  ☆97Updated last year
• HazyResearch / prefix-linear-attention
  ☆53Updated 9 months ago
• RobertCsordas / moeut
  ☆78Updated 8 months ago
• berlino / gated_linear_attention
  ☆103Updated last year
• TomerRonen34 / mixed-resolution-vit
  ☆50Updated last year