Found 35 repositories(showing 30)
fla-org
🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"
lucidrains
Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper
Relaxed-System-Lab
🚀🚀 Efficient implementations of Native Sparse Attention
XunhaoLai
Efficient triton implementation of Native Sparse Attention.
tilde-research
An efficient implementation of the NSA (Native Sparse Attention) kernel
dhcode-cpp
DeepSeek Native Sparse Attention pytorch implementation
qwen-nsa
Espere-1119-Song
VideoNSA: Native Sparse Attention Scales Video Understanding
fal-ai-community
research impl of Native Sparse Attention (2502.11089)
No description available
a-hamdi
No description available
ZeroAGI
Native Sparse Attention PyTorch Implementaion
yukavio
native sparse attention kernel
AndrewBoessen
Efficient CUDA implementation of "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"
seconds-0
Native Sparse Attention (NSA) M0 steel-thread: SDPA-only, RoPE, CSR mapping, batched prefill, masked varlen SDPA, selection packing, tests and CI.
shreyashkar-ml
No description available
VZcosmos
Code for the paper "Natively Trainable Sparse Attention for Hierarchical Point Cloud Datasets"
Yuan-ManX
PyTorch implementation of Native Sparse Attention.
wdeng
For Native Sparse Attention
BILLYisavailable
implementations of native sparse attention (triton) to some models
clinno0616
Implementation of the Proposed Method for Deep Seek Native Sparse Attention (NSA, arXiv 2502.11089)
HarleyCoops
No description available
Iron-Bound
Building Native Sparse Attention
clinno0616
Implementation of the Proposed Method for Deep Seek Native Sparse Attention (NSA, arXiv 2502.11089)
gaspardbd
No description available
pow9791
an implementastion of native sparse attention by deepseek on the Mac OS
Implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"
liyuan24
No description available
sampan26
No description available
YentlCollin
No description available