ghost-flow 1.7.0

Complete machine learning framework in Rust - tensors, neural networks, 85+ ML algorithms, GPU acceleration, WASM, FFI, model serving, compiler optimizations, distributed training, and 8 hardware accelerators - all included by default

ghost-flow

There is currently very little information to present on this page because Docs.rs has only limited support for extracting structured feature metadata from Cargo crates. This issue is tracked in Rust RFC #3416. Check this library's main docs, readme, and Cargo.toml in case its authors have documentation for features available there instead.

This version has 11 feature flags, 10 of them enabled by default.

default

autograd (default)

cuda (default)

data (default)

ffi (default)

ml (default)

nn (default)

optim (default)

serve (default)

simd (default)

wasm (default)

full