🧮 Matrix Library for Dart

A lightweight and efficient matrix manipulation library written in Dart.
Designed for numerical computing, neural network utilities, and general matrix operations.

can be downloaded through pub.dev

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🚀 Getting Started

Add the library files to your Dart project, then import the needed modules:

import 'matrices/matrix.dart';
import 'matrices/nnutils.dart';
``

## 🧰 Features
Core matrix data structure with standard operations: addition, multiplication, transpose, etc.

Neural network utilities such as activation functions and gradient calculations

Helper utilities for matrix validation and math functions

Support for common linear algebra operations

## 📖 Usage Example
```dart
import 'matrices/matrix.dart';

void main() {
  // Create two matrices
  var A = Matrix([
    [1, 2],
    [3, 4],
  ]);

  var B = Matrix([
    [5, 6],
    [7, 8],
  ]);

  // Multiply matrices
  var C = A * B;

  print('Result:\n$C');
}

📁 File Details

matrix.dart Contains the Matrix class implementation with constructors, operators, and basic matrix algebra methods.

• matrices.dart Contains extended matrix operations, batch processing, and utility functions operating on multiple matrices.

• nnutils.dart Neural network helper functions such as activation (ReLU, sigmoid), loss calculations, and derivatives.

• utils.dart General-purpose utilities like input validation, numeric helpers, and common math operations.