[package]
name = "autograd"
version = "0.9.0"
authors = ["raskr <janne.dc.ib.sa@gmail.com>"]
description = "Tensors and differentiable operations in Rust"
documentation = "https://docs.rs/autograd/"
readme = "README.md"
keywords = ["numerics", "machine-learning", "ndarray", "multidimensional", "neural-network"]
license-file = "LICENSE"
repository = "https://github.com/raskr/rust-autograd"
[lib]
name = "autograd"
path = "src/lib.rs"
[[example]]
name = "mlp_mnist"
path = "examples/mlp_mnist.rs"
[[example]]
name = "lstm_lm"
path = "examples/lstm_lm.rs"
[[example]]
name = "cnn_mnist"
path = "examples/cnn_mnist.rs"
[dependencies.glob]
version = "0.2"
[dependencies.intel-mkl-src]
version = "0.2.5"
optional = true
default-features = true
[dependencies.libc]
version = "0.2"
[dependencies.matrixmultiply]
version = "0.1.14"
[dependencies.ndarray]
version = "0.10.11"
[dependencies.num]
version = "0.2"
[dependencies.num-traits]
version = "0.2"
[dependencies.rand]
version = "0.3.15"
[dependencies.rayon]
version = "1.0"
[features]
mkl = ["intel-mkl-src"]