zuna-rs 0.2.0

ZUNA EEG Foundation Model — inference in Rust (Burn and/or RLX)
Documentation

zuna-rs

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 31 feature flags, 2 of them enabled by default.

default

rlx (default)

  • dep:rlx (default)

rlx-cpu (default)

apple-silicon

blas-accelerate

burn

burn-mlx

cpu

cuda

gpu

hf-download

metal

mlx

mlx-f16

ndarray

nvidia

openblas-system

rlx-apple-silicon

rlx-blas-accelerate

rlx-blas-mkl

rlx-blas-openblas

rlx-cuda

rlx-gpu

rlx-metal

rlx-mlx

rlx-nvidia

rlx-rocm

rlx-tpu

rocm

tpu

wgpu

wgpu-f16