Alternatives and similar repositories for attention

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

• RobertCsordas / moe_attention
  Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"
  ☆98Updated 9 months ago
• ambisinister / mla-experiments
  Experiments on Multi-Head Latent Attention
  ☆93Updated 10 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)
  ☆74Updated last year
• nyunAI / Faster-LLM-Survey
  ☆42Updated last year
• lucidrains / infini-transformer-pytorch
  Implementation of Infini-Transformer in Pytorch
  ☆111Updated 6 months ago
• kyegomez / Mixture-of-Depths
  Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆99Updated last week
• YeonwooSung / Pytorch_mixture-of-experts
  PyTorch implementation of moe, which stands for mixture of experts
  ☆45Updated 4 years ago
• WailordHe / DenseSSM
  A repository for DenseSSMs
  ☆87Updated last year
• Montinger / Transformer-Workbench
  Playground for Transformers
  ☆51Updated last year
• Arenaa / Accelerated-Generation-Techniques
  This repository contains papers for a comprehensive survey on accelerated generation techniques in Large Language Models (LLMs).
  ☆11Updated last year
• fkodom / grouped-query-attention-pytorch
  (Unofficial) PyTorch implementation of grouped-query attention (GQA) from "GQA: Training Generalized Multi-Query Transformer Models from …
  ☆171Updated last year
• IST-DASLab / RoSA
  Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)
  ☆42Updated last year
• bobby-he / simplified_transformers
  ☆292Updated 6 months ago
• kyegomez / Griffin
  Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
  ☆55Updated 3 months ago
• kyegomez / FlashAttention20
  Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels
  ☆105Updated last year
• kyegomez / SparseAttention
  Pytorch Implementation of the sparse attention from the paper: "Generating Long Sequences with Sparse Transformers"
  ☆84Updated 3 months ago
• CASE-Lab-UMD / LLM-Drop
  The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
  ☆174Updated 3 months ago
• fkodom / yet-another-retnet
  A simple but robust PyTorch implementation of RetNet from "Retentive Network: A Successor to Transformer for Large Language Models" (http…
  ☆106Updated last year
• rasbt / cvpr2023
  ☆133Updated last year
• jlamprou / Infini-Attention
  Efficient Infinite Context Transformers with Infini-attention Pytorch Implementation + QwenMoE Implementation + Training Script + 1M cont…
  ☆83Updated last year
• kyegomez / Infini-attention
  Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…
  ☆55Updated 2 weeks ago
• piotrpiekos / MoSA
  User-friendly implementation of the Mixture-of-Sparse-Attention (MoSA). MoSA selects distinct tokens for each head with expert choice rou…
  ☆22Updated 2 months ago
• SeunghyunSEO / optimized_hf_llama_class_for_training
  ☆48Updated 10 months ago
• kyegomez / TTL
  Pytorch Implementation of the paper: "Learning to (Learn at Test Time): RNNs with Expressive Hidden States"
  ☆25Updated 2 weeks ago
• radarFudan / mamba
  ☆18Updated 8 months ago
• OpenNLPLab / HGRN2
  HGRN2: Gated Linear RNNs with State Expansion
  ☆55Updated 10 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…
  ☆52Updated 2 years ago
• lucidrains / agent-attention-pytorch
  Implementation of Agent Attention in Pytorch
  ☆90Updated last year
• lucidrains / mixture-of-attention
  Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts
  ☆119Updated 8 months ago
• cmd2001 / KVTuner
  KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference
  ☆15Updated 2 months ago