[package]
name = "dfdx"
version = "0.5.0"
edition = "2021"
license = "MIT OR Apache-2.0"
description = "Ergonomic auto differentiation in Rust, with pytorch like apis."
homepage = "https://github.com/coreylowman/dfdx"
documentation = "https://docs.rs/dfdx"
repository = "https://github.com/coreylowman/dfdx"
readme = "README.md"
keywords = [
"machine-learning",
"neural-network",
"backprop",
"autograd",
"autodiff",
]
[dependencies]
rand = "0.8.5"
rand_distr = "0.4.3"
tempfile = "3.3.0"
matrixmultiply = "0.3.2"
num-traits = "0.2.15"