burn-efficient-kan 0.3.0

An efficient pure-Rust implementation of Kolmogorov-Arnold Network (KAN).
Documentation 
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[dependencies.burn]
version = "0.16"

[dependencies.ndarray]
version = "0.16"

[dependencies.ndarray-linalg]
version = "0.17"

[dev-dependencies.burn]
features = ["wgpu", "train", "vision", "tui"]
version = "0.16"

[dev-dependencies.ndarray-linalg]
features = ["netlib-system"]
version = "0.17"

[[example]]
name = "mnist"
path = "examples/mnist/main.rs"

[features]
default = []
intel-mkl = ["ndarray-linalg/intel-mkl"]
intel-mkl-static = ["ndarray-linalg/intel-mkl-static"]
intel-mkl-system = ["ndarray-linalg/intel-mkl-system"]
netlib = ["ndarray-linalg/netlib"]
netlib-static = ["ndarray-linalg/netlib-static"]
netlib-system = ["ndarray-linalg/netlib-system"]
openblas = ["ndarray-linalg/openblas"]
openblas-static = ["ndarray-linalg/openblas-static"]
openblas-system = ["ndarray-linalg/openblas-system"]

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

[package]
authors = ["Vladislav Grechannik <vgechannik@gmail.com>"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["science"]
description = "An efficient pure-Rust implementation of Kolmogorov-Arnold Network (KAN)."
edition = "2021"
keywords = ["machine-learning", "deep-learning", "neural-networks", "kan", "burn"]
license = "MIT"
name = "burn-efficient-kan"
readme = "README.md"
repository = "https://github.com/VlaDexa/burn-efficient-kan"
version = "0.3.0"