ghost-flow 1.0.0

Complete machine learning framework in Rust - tensors, neural networks, and 85+ ML algorithms with quantization and distributed training
Documentation 
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[dependencies.ghostflow-autograd]
optional = true
version = "0.1.0"

[dependencies.ghostflow-core]
version = "0.1.0"

[dependencies.ghostflow-cuda]
optional = true
version = "0.1.0"

[dependencies.ghostflow-data]
optional = true
version = "0.1.0"

[dependencies.ghostflow-ml]
optional = true
version = "0.1.0"

[dependencies.ghostflow-nn]
optional = true
version = "0.1.0"

[dependencies.ghostflow-optim]
optional = true
version = "0.1.0"

[features]
autograd = ["dep:ghostflow-autograd"]
cuda = ["ghostflow-cuda/cuda"]
data = ["dep:ghostflow-data"]
default = ["nn", "ml", "autograd", "optim", "data"]
full = ["nn", "ml", "autograd", "optim", "data", "simd"]
ml = ["dep:ghostflow-ml"]
nn = ["dep:ghostflow-nn"]
optim = ["dep:ghostflow-optim"]
simd = ["ghostflow-core/simd"]

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

[package]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["science", "algorithms"]
description = "Complete machine learning framework in Rust - tensors, neural networks, and 85+ ML algorithms with quantization and distributed training"
documentation = "https://docs.rs/ghost-flow"
edition = "2021"
homepage = "https://github.com/choksi2212/ghost-flow"
keywords = ["machine-learning", "deep-learning", "neural-network", "tensor", "ml"]
license = "MIT OR Apache-2.0"
name = "ghost-flow"
readme = "README.md"
repository = "https://github.com/choksi2212/ghost-flow"
version = "1.0.0"