| Repository | Description | Link | |------------|-------------|------| | performer-pytorch | Clean, well‑tested Performer implementation (supports CUDA, TorchScript) | https://github.com/lucidrains/performer-pytorch | | torch-sparse-attention | Implements the SCAT block‑sparse causal mask; works with any nn.Module that outputs (B, L, D) | https://github.com/idiap/torch-sparse-attention | | hybrid‑performer‑scat (by Liu et al.) | Official code for the “Linear‑Sparse Transformers” paper; includes training scripts for language modeling up to 1 B params | https://github.com/liu-lab/linear-sparse-transformer |
Some potential feature article titles:
Scat singing requires impressive vocal agility, good pitch accuracy, and a deep understanding of melodic structure. A skilled scat singer can create complex melodies, rhythms, and harmonies on the spot, often emulating instrumental solos. The best scat singers can seamlessly integrate scat into their performances, making it an integral part of their musical expression. perverformer scat