nbml 0.2.4

Machine Learning Primitives
Documentation
[dependencies.ndarray]
features = ["serde"]
version = "0.16.1"

[dependencies.ndarray-rand]
version = "0.15.0"

[dependencies.ndarray-stats]
version = "0.6.0"

[dependencies.plotly]
version = "0.12.1"

[dependencies.rand]
version = "0.9.2"

[dependencies.serde]
features = ["derive", "rc"]
version = "1.0.197"

[dependencies.serde-binary]
version = "0.5.0"

[dependencies.serde_json]
version = "1.0.145"

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

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

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

[[example]]
name = "transformer_2"
path = "examples/transformer_2.rs"

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

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

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

[package]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
description = "Machine Learning Primitives"
edition = "2024"
homepage = "https://github.com/naatebarber/nbml"
license = "MIT OR Apache-2.0"
name = "nbml"
readme = "README.md"
repository = "https://github.com/naatebarber/nbml"
version = "0.2.4"

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

[[test]]
name = "conv2d"
path = "tests/conv2d.rs"

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

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

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

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

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