Alternatives and similar repositories for hyper-attn

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

• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆92Updated 6 months ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆75Updated last year
• epfml / dynamic-sparse-flash-attention
  ☆150Updated 2 years ago
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆114Updated this week
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆246Updated 7 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆88Updated last year
• mgmalek / efficient_cross_entropy
  ☆124Updated last year
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated 2 years ago
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆75Updated 10 months ago
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆60Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆113Updated 2 months ago
• berlino / seq_icl
  ☆53Updated last year
• shikaiqiu / compute-better-spent
  ☆62Updated last year
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆251Updated 3 weeks ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆99Updated last year
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆131Updated last year
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year
• lucidrains / pause-transformer
  Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…
  ☆53Updated 2 years ago
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆79Updated last year
• teelinsan / parallel-decoding
  Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
  ☆123Updated last year
• microsoft / SparseMixer
  Sparse Backpropagation for Mixture-of-Expert Training
  ☆29Updated last year
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆186Updated 2 weeks ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆135Updated last year
• samsja / muon_fsdp_2
  Muon fsdp 2
  ☆52Updated 5 months ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆82Updated 2 years ago
• RobertCsordas / moeut
  ☆91Updated last year
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆47Updated last year
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆229Updated 7 months ago
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆120Updated last year