hextral 0.7.0

Comprehensive neural network library with batch normalization, 9 activation functions, 5 loss functions, multiple optimizers, regularization, and clean async-first API
Documentation 
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[dependencies.bincode]
version = "1.3"

[dependencies.futures]
version = "0.3"

[dependencies.nalgebra]
version = "0.33"

[dependencies.num-traits]
version = "0.2"

[dependencies.rand]
features = ["std_rng"]
version = "0.8"

[dependencies.serde]
features = ["derive"]
optional = true
version = "1.0"

[dependencies.tokio]
features = ["full"]
version = "1.0"

[dev-dependencies.tokio-test]
version = "0.4"

[[example]]
name = "async_demo"
path = "examples/async_demo.rs"

[[example]]
name = "early_stopping_demo"
path = "examples/early_stopping_demo.rs"

[[example]]
name = "optimizer_demo"
path = "examples/optimizer_demo.rs"

[[example]]
name = "quaternion_demo"
path = "examples/quaternion_demo.rs"

[features]
default = ["serde"]
serde = ["dep:serde", "nalgebra/serde-serialize"]

[lib]
name = "hextral"
path = "src/lib.rs"

[package]
authors = ["xStFtx <noskillz.exe@gmail.com>"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["algorithms", "mathematics", "science", "asynchronous"]
description = "Comprehensive neural network library with batch normalization, 9 activation functions, 5 loss functions, multiple optimizers, regularization, and clean async-first API"
edition = "2021"
keywords = ["neural-network", "machine-learning", "deep-learning", "ai", "async"]
license = "MIT OR Apache-2.0"
name = "hextral"
readme = "README.md"
repository = "https://github.com/xStFtx/hextral"
version = "0.7.0"

[[test]]
name = "optimizer_tests"
path = "tests/optimizer_tests.rs"

[[test]]
name = "tests"
path = "tests/tests.rs"