Alternatives and similar repositories for hyper-attn

Users that are interested in hyper-attn are comparing it to the libraries listed below

• epfml / dynamic-sparse-flash-attention
  ☆144Updated 2 years ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆197Updated 2 months ago
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆62Updated 4 months ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆116Updated 5 months ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆126Updated 6 months ago
• Dao-AILab / grouped-latent-attention
  ☆53Updated this week
• PiotrNawrot / sparse-frontier
  Official implementation of "The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs"
  ☆32Updated last month
• berlino / seq_icl
  ☆52Updated last year
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆115Updated this week
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆68Updated 3 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆73Updated 7 months ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆67Updated 10 months ago
• kssteven418 / BigLittleDecoder
  [NeurIPS'23] Speculative Decoding with Big Little Decoder
  ☆92Updated last year
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆59Updated 7 months ago
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆75Updated last year
• FasterDecoding / TEAL
  ☆129Updated 3 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆216Updated 6 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆234Updated 3 months ago
• teelinsan / parallel-decoding
  Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
  ☆116Updated last year
• sustcsonglin / linear-attention-and-beyond-slides
  ☆74Updated 3 months ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆67Updated 7 months ago
• HanGuo97 / lq-lora
  ☆125Updated last year
• mgmalek / efficient_cross_entropy
  ☆108Updated last year
• hwang595 / Cuttlefish
  The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"
  ☆44Updated 2 years ago
• Doraemonzzz / Awesome-Triton-Resources
  Awesome Triton Resources
  ☆28Updated last month
• stanford-futuredata / stk
  ☆105Updated 9 months ago
• UNITES-Lab / MC-SMoE
  [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆84Updated 11 months ago
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆80Updated 3 years ago
• sustcsonglin / mamba-triton
  ☆46Updated last year