Alternatives and similar repositories for hgru2-pytorch

Users that are interested in hgru2-pytorch are comparing it to the libraries listed below

• OpenNLPLab / HGRN2
  HGRN2: Gated Linear RNNs with State Expansion
  ☆56Updated last year
• glassroom / heinsen_attention
  Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)
  ☆24Updated last year
• google-deepmind / spectral_ssm
  ☆34Updated last year
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• OpenNLPLab / HGRN
  [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…
  ☆66Updated last year
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• Benjamin-Walker / selective-ssms-and-linear-cdes
  Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)
  ☆15Updated 11 months ago
• radarFudan / Curse-of-memory
  Curse-of-memory phenomenon of RNNs in sequence modelling
  ☆19Updated 7 months ago
• smonsays / hypernetwork-attention
  Official code for the paper "Attention as a Hypernetwork"
  ☆46Updated last year
• Doraemonzzz / hgru-pytorch
  ☆29Updated last year
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year
• krafton-ai / mambaformer-icl
  MambaFormer in-context learning experiments and implementation for https://arxiv.org/abs/2402.04248
  ☆57Updated last year
• AlirezaMorsali / MLP-Attention
  ☆16Updated last year
• kazuki-irie / kv-memory-brain
  Official Code Repository for the paper "Key-value memory in the brain"
  ☆31Updated 9 months ago
• sustcsonglin / mamba-triton
  ☆51Updated last year
• sjelassi / transformers_ssm_copy
  ☆35Updated last year
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆47Updated last year
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆56Updated 6 months ago
• maximzubkov / fft-scan
  Efficient PScan implementation in PyTorch
  ☆17Updated last year
• yikangshen / megablocks
  ☆20Updated 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…
  ☆28Updated 7 months ago
• Doraemonzzz / xmixers
  Xmixers: A collection of SOTA efficient token/channel mixers
  ☆28Updated 3 months ago
• kyegomez / Blockwise-Parallel-Transformer
  32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.
  ☆49Updated 2 years ago
• HazyResearch / prefix-linear-attention
  ☆57Updated last year
• bdusell / stack-attention
  Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"
  ☆18Updated last year
• fla-org / flash-bidirectional-linear-attention
  Triton implement of bi-directional (non-causal) linear attention
  ☆58Updated 10 months ago
• Eliyas0007 / Pytorch-Intention
  Unofficial implementation of paper : Exploring the Space of Key-Value-Query Models with Intention
  ☆12Updated 2 years ago
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆40Updated 2 years ago
• Itamarzimm / UnifiedImplicitAttnRepr
  [ICLR 2025] Official Code Release for Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
  ☆47Updated 9 months ago
• zhixuan-lin / forgetting-transformer
  [ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning
  ☆134Updated this week