Topic: linear-attention Goto Github
Some thing interesting about linear-attention
Some thing interesting about linear-attention
linear-attention,RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
User: blinkdl
linear-attention,Flash linear attention kernels in Triton
User: fattorib
linear-attention,Official Implementation of SEA: Sparse Linear Attention with Estimated Attention Mask (ICLR 2024)
User: gmlwns2000
linear-attention,The semantic segmentation of remote sensing images
User: lironui
Home Page: https://lironui.github.io/
linear-attention,The semantic segmentation of remote sensing images
User: lironui
Home Page: https://lironui.github.io/
linear-attention,Implementation of Agent Attention in Pytorch
User: lucidrains
linear-attention,CUDA implementation of autoregressive linear attention, with all the latest research findings
User: lucidrains
linear-attention,Explorations into the recently proposed Taylor Series Linear Attention
User: lucidrains
linear-attention,LEAP: Linear Explainable Attention in Parallel for causal language modeling with O(1) path length, and O(1) inference
User: mtanghu
linear-attention,Implementation of: Hydra Attention: Efficient Attention with Many Heads (https://arxiv.org/abs/2209.07484)
User: robflynnyh
linear-attention,RWKV Wiki website (archived, please visit official wiki)
Organization: rwkv-wiki
Home Page: https://wiki.rwkv.com/
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