Smyl - A Machine Learning Library in Rust

Smyl is a machine learning library written in Rust, providing a set of tools and abstractions for building and training neural networks.

Features

Matrix Operations: Smyl provides a Matrix struct for efficient matrix operations, including addition, subtraction, multiplication, and more. See the [matrix] module for details.
Activation Functions: Smyl includes common activation functions such as ReLU and Sigmoid. These are defined in the [activation] module.
Layers: Smyl defines two main layer types: SignalLayer and SynapseLayer, which can be used to build neural network architectures. See the [layer] module.
Macros (optional): With the macros feature enabled, Smyl provides a set of macros to simplify the creation of neural networks. These are defined in the [macros] module.
Idx3 Support (optional): With the idx3 feature enabled, Smyl can read and process data in the IDX3 format, commonly used for storing images. This is provided in the [idx3] module.

To use Smyl, add the following to your Cargo.toml file:

[dependencies]
smyl = "0.1.0"

Then, in your Rust code, you can import the necessary modules from the prelude:

use smyl::prelude::*;

For more detailed documentation, please refer to the individual module documentation:

You can find example usage of Smyl in the [examples] directory of the repository.