Crate reve_rs 

reve-rs — REVE EEG Foundation Model inference in Rust

Pure-Rust inference for the REVE (Representation for EEG with Versatile Embeddings) foundation model, built on RLX (rlx-cpu by default; optional rlx-metal, rlx-mlx, …).

REVE generalizes across diverse electrode configurations using 4D positional encoding (x, y, z, t). It was pretrained on 60,000+ hours of EEG data from 92 datasets spanning 25,000 subjects.

Quick start

use reve_rs::ReveEncoder;
use rlx::Device;
use std::path::Path;

let (mut model, _ms) = ReveEncoder::load(
    Path::new("data/config.json"),
    Path::new("data/model.safetensors"),
    Device::Cpu,
)?;
let out = model.run_one(signal, positions_xyz, n_channels, n_times)?;

Re-exports

pub use config::ModelConfig;

pub use position_bank::PositionBank;

pub use rlx::EncodingResult;

pub use rlx::ReveEncoder;

pub use rlx::ReveOutput;

Modules

config

position_bank

rlx

RLX-backed REVE inference (rlx::Graph + rlx::Session).