Alternatives and similar repositories for flash_attn_jax:

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

• young-geng / scalax
  A simple library for scaling up JAX programs
  ☆129Updated 2 months ago
• davisyoshida / lorax
  LoRA for arbitrary JAX models and functions
  ☆135Updated 10 months ago
• proger / accelerated-scan
  Accelerated First Order Parallel Associative Scan
  ☆169Updated 4 months ago
• epfml / dynamic-sparse-flash-attention
  ☆135Updated last year
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆74Updated 11 months ago
• graphcore-research / unit-scaling
  A library for unit scaling in PyTorch
  ☆118Updated last month
• MatX-inc / seqax
  seqax = sequence modeling + JAX
  ☆136Updated 6 months ago
• cloneofsimo / min-fsdp
  ☆75Updated 6 months ago
• sustcsonglin / mamba-triton
  ☆46Updated 11 months ago
• lucidrains / flash-attention-jax
  Implementation of Flash Attention in Jax
  ☆204Updated 10 months ago
• yixiaoer / tpux
  A set of Python scripts that makes your experience on TPU better
  ☆44Updated 6 months ago
• young-geng / mintext
  Minimal but scalable implementation of large language models in JAX
  ☆28Updated 2 months ago
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆67Updated 7 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆192Updated last month
• lucidrains / autoregressive-linear-attention-cuda
  CUDA implementation of autoregressive linear attention, with all the latest research findings
  ☆44Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆66Updated 9 months ago
• NX-AI / flashrnn
  FlashRNN - Fast RNN Kernels with I/O Awareness
  ☆69Updated last month
• gpu-mode / ring-attention
  ring-attention experiments
  ☆116Updated 3 months ago
• davisyoshida / qax
  If it quacks like a tensor...
  ☆55Updated 2 months ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆102Updated last month
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆52Updated last month
• mgmalek / efficient_cross_entropy
  ☆83Updated 7 months ago
• dvruette / barrel-rec-pytorch
  ☆53Updated 11 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆219Updated last month
• Sea-Snell / JAX_llama
  Inference code for LLaMA models in JAX
  ☆114Updated 7 months ago
• berlino / seq_icl
  ☆51Updated 7 months ago
• vdesai2014 / inference-optimization-blog-post
  ☆85Updated 10 months ago
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆55Updated last month
• google-research / jaxpruner
  ☆215Updated 8 months ago
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆43Updated 6 months ago