hextral 0.8.0

Comprehensive neural network library with dataset loading, batch normalization, 9 activation functions, 5 loss functions, multiple optimizers, regularization, and clean async-first API
Documentation 
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[package]

name = "hextral"

version = "0.8.0"

authors = ["xStFtx <noskillz.exe@gmail.com>"]

description = "Comprehensive neural network library with dataset loading, batch normalization, 9 activation functions, 5 loss functions, multiple optimizers, regularization, and clean async-first API"

license = "MIT OR Apache-2.0"

repository = "https://github.com/xStFtx/hextral"

keywords = ["neural-network", "machine-learning", "deep-learning", "ai", "async"]

categories = ["algorithms", "mathematics", "science", "asynchronous"]

edition = "2021"

readme = "README.md"



[dependencies]

nalgebra = "0.33"

rand = { version = "0.8", features = ["std_rng"] }

num-traits = "0.2"

serde = { version = "1.0", features = ["derive"], optional = true }

tokio = { version = "1.0", features = ["full"] }

futures = "0.3"

bincode = "1.3"



# Dataset loading dependencies

csv = { version = "1.3", optional = true }

image = { version = "0.24", optional = true }

tokio-util = { version = "0.7", features = ["codec", "io"], optional = true }

async-trait = { version = "0.1", optional = true }

thiserror = { version = "1.0", optional = true }



[dev-dependencies]

tokio-test = "0.4"



[features]

default = ["serde", "datasets"]

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

datasets = ["csv", "image", "tokio-util", "async-trait", "thiserror"]



[lib]

name = "hextral"