alumina 0.3.0

[package]

name = "alumina"

version = "0.3.0"

authors = ["J. Millard <millard.jn@gmail.com>"]

description = "An Experimental Deep Learning Library"

repository = "https://github.com/millardjn/alumina"

keywords = ["Neural", "Network", "Machine", "Deep", "Learning"]

license = "MIT"





#[features]

#default = ["mnist"]

#mnist = ["byteorder"]

#images = ["image"]





[dependencies]

clippy = {version = "0.0.212", optional = true}

ndarray = "0.11.2"

walkdir = "2.2"

error-chain = "0.12"

odds = "0.3"

smallvec = "0.6"

rand = "0.5.5"

#byteorder = {version = "1.1", optional = true}

byteorder = "1.2.4"

#image = {version = "0.17", optional = true}

image = "0.19"

num_cpus = "1.8"

threadpool = "1.7"

lazy_static = "1.1"

typenum = "1.10"

typenum_loops = "0.3"

generic-array = "0.11"

scoped_threadpool = "0.1.9"

indexmap = "1.0"

matches = "0.1.7"

arrayvec = "0.4"

rayon = "1.0"

unchecked-index = "0.2.2"



matrixmultiply_mt = "0.1.6"



#matrixmultiply_mt = {path = "D:/Repositories/matrixmultiply_mt"}



#[dev-dependencies]

#bytevec = "0.2.0"

#image = "0.17"



[lib]

name = "alumina"