Alternatives and similar repositories for stack-attention

Users that are interested in stack-attention are comparing it to the libraries listed below

• jenni-ai / T2FW
  Fine-Tuning Pre-trained Transformers into Decaying Fast Weights
  ☆19Updated 2 years ago
• yikangshen / megablocks
  ☆20Updated last year
• smonsays / hypernetwork-attention
  Official code for the paper "Attention as a Hypernetwork"
  ☆40Updated last year
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆27Updated 3 years ago
• Doraemonzzz / nanoTransNormer
  ☆11Updated last year
• radarFudan / Curse-of-memory
  Curse-of-memory phenomenon of RNNs in sequence modelling
  ☆19Updated 3 months ago
• glassroom / heinsen_attention
  Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)
  ☆24Updated last year
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• Eliyas0007 / Pytorch-Intention
  Unofficial implementation of paper : Exploring the Space of Key-Value-Query Models with Intention
  ☆12Updated 2 years ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• RobertCsordas / linear_layer_as_attention
  The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …
  ☆16Updated last month
• UW-Madison-Lee-Lab / Expressive_Power_of_LoRA
  Code for "The Expressive Power of Low-Rank Adaptation".
  ☆20Updated last year
• Doraemonzzz / hgru2-pytorch
  ☆23Updated 10 months ago
• IBM / selective-dense-state-space-model
  Open-sourcing code associated with the AAAI-25 paper "On the Expressiveness and Length Generalization of Selective State-Space Models on …
  ☆14Updated 3 months ago
• hengyuan-hu / jax-vs-pytorch
  ☆12Updated 5 months ago
• archinetai / vat-pytorch
  Virtual Adversarial Training (VAT) techniques in PyTorch
  ☆17Updated 3 years ago
• OpenNLPLab / HGRN2
  HGRN2: Gated Linear RNNs with State Expansion
  ☆55Updated 11 months ago
• automl / unlocking_state_tracking
  Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without…
  ☆15Updated 4 months ago
• acosharma / elita-transformer
  Official Repository for Efficient Linear-Time Attention Transformers.
  ☆18Updated last year
• Doraemonzzz / hgru-pytorch
  ☆27Updated last year
• emalach / LinearLM
  Code for the paper: https://arxiv.org/pdf/2309.06979.pdf
  ☆20Updated last year
• yangjackie / Topics-on-diffusion-generative-models
  ☆26Updated last month
• Doraemonzzz / xmixers
  Xmixers: A collection of SOTA efficient token/channel mixers
  ☆11Updated last month
• BYU-PCCL / prompt-compression-contrastive-coding
  Companion repository to "Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models"
  ☆14Updated 2 years ago
• Doraemonzzz / tnn-pytorch
  ☆20Updated 2 years ago
• CyndxAI / QKNorm
  Code for the paper "Query-Key Normalization for Transformers"
  ☆45Updated 4 years ago
• VITA-Group / Data-Efficient-Scaling
  [ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang
  ☆14Updated last year
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆38Updated last year
• Ryu1845 / hyena-jax
  Implementation of Hyena Hierarchy in JAX
  ☆10Updated 2 years ago