Popular GitHub Repositories for Linear Attention

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

The semantic segmentation of remote sensing images

The semantic segmentation of remote sensing images

Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)

LEAP: Linear Explainable Attention in Parallel for causal language modeling with O(1) path length, and O(1) inference