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cuLA
github.com
CUDA kernels for linear attention variants, written in CuTe DSL and CUTLASS C++.
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FlashQLA
high-performance linear attention kernel library built on TileLang
native-sparse-attention-pytorch
Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper
flash-linear-attention
🚀 Efficient implementations for emerging model architectures
Flash Attention in ~100 lines of CUDA
Flash Attention in ~100 lines of CUDA (forward pass only)
DeepGEMM
DeepGEMM: clean and efficient BLAS kernel library on GPU