Alternatives and similar repositories for mambaformer-icl

Users that are interested in mambaformer-icl are comparing it to the libraries listed below

• Doraemonzzz / hgru2-pytorch
  ☆23Updated last year
• OpenNLPLab / HGRN2
  HGRN2: Gated Linear RNNs with State Expansion
  ☆54Updated last year
• Itamarzimm / UnifiedImplicitAttnRepr
  [ICLR 2025] Official Code Release for Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
  ☆46Updated 7 months ago
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆61Updated last year
• WailordHe / DenseSSM
  A repository for DenseSSMs
  ☆88Updated last year
• OpenNLPLab / HGRN
  [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…
  ☆65Updated last year
• zhixuan-lin / forgetting-transformer
  [ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning
  ☆131Updated 2 weeks ago
• sustcsonglin / gated_linear_attention_layer
  ☆31Updated last year
• sustcsonglin / mamba-triton
  ☆48Updated last year
• lucidrains / infini-transformer-pytorch
  Implementation of Infini-Transformer in Pytorch
  ☆113Updated 9 months ago
• Benjamin-Walker / selective-ssms-and-linear-cdes
  Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)
  ☆15Updated 9 months ago
• smonsays / hypernetwork-attention
  Official code for the paper "Attention as a Hypernetwork"
  ☆43Updated last year
• IdoAmos / not-from-scratch
  ☆33Updated 11 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• berlino / gated_linear_attention
  ☆105Updated last year
• lucidrains / mixture-of-attention
  Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts
  ☆119Updated 11 months ago
• HazyResearch / prefix-linear-attention
  ☆56Updated last year
• Doraemonzzz / xmixers
  Xmixers: A collection of SOTA efficient token/channel mixers
  ☆29Updated last month
• lsj2408 / URPE
  [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)
  ☆32Updated 2 years ago
• annosubmission / GRC-Cache
  ☆16Updated 2 years ago
• chuanyang-Zheng / DAPE
  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"
  ☆39Updated last year
• piotrpiekos / MoSA
  User-friendly implementation of the Mixture-of-Sparse-Attention (MoSA). MoSA selects distinct tokens for each head with expert choice rou…
  ☆25Updated 5 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
• lucidrains / taylor-series-linear-attention
  Explorations into the recently proposed Taylor Series Linear Attention
  ☆100Updated last year
• radarFudan / Curse-of-memory
  Curse-of-memory phenomenon of RNNs in sequence modelling
  ☆19Updated 5 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…
  ☆55Updated 2 years ago
• HKUNLP / efficient-attention
  [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling
  ☆86Updated 2 years ago
• kazuki-irie / kv-memory-brain
  Official Code Repository for the paper "Key-value memory in the brain"
  ☆28Updated 7 months 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)
  ☆78Updated 2 years ago
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆60Updated 3 months ago