[package]
edition = "2021"
name = "mininn"
version = "0.1.4"
authors = ["Paco Algar"]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "A minimalist deep learnig crate for rust."
documentation = "https://docs.rs/mininn"
readme = "README.md"
keywords = [
"deep-learning",
"machine-learning",
"neural-networks",
"ndarray",
"hdf5",
]
license = "MIT"
repository = "https://github.com/Pacatro/mininn"
[lib]
name = "mininn"
path = "src/lib.rs"
[[example]]
name = "custom"
path = "examples/custom.rs"
[[example]]
name = "iris"
path = "examples/iris.rs"
[[example]]
name = "mnist"
path = "examples/mnist.rs"
[[example]]
name = "mnist_load_nn"
path = "examples/mnist_load_nn.rs"
[[example]]
name = "xor"
path = "examples/xor.rs"
[[example]]
name = "xor_load_nn"
path = "examples/xor_load_nn.rs"
[[test]]
name = "integration"
path = "tests/integration.rs"
[dependencies.dyn-clone]
version = "1.0.17"
[dependencies.hdf5]
version = "0.9.3"
package = "hdf5-metno"
[dependencies.mininn-derive]
version = "0.1.0"
[dependencies.ndarray]
version = "0.16.1"
features = ["serde"]
[dependencies.ndarray-rand]
version = "0.15.0"
[dependencies.rmp-serde]
version = "1.3.0"
[dependencies.serde]
version = "1.0.216"
features = ["derive"]
[dev-dependencies.linfa-datasets]
version = "0.7.0"
features = ["iris"]
[dev-dependencies.mnist]
version = "0.6.0"
[dev-dependencies.serial_test]
version = "3.2.0"