Universal C Library Collection for Machine Learning & Artificial Intelligence

Overview

The Universal Library Collection on GitHub is a curated set of C-based libraries designed to provide essential tools for various domains such as linear algebra, neural networks, and dataset management. Each library offers a comprehensive suite of functionalities aimed at enhancing development efficiency and enabling advanced computations in C programming projects.

Libraries Included

1. Linear Algebra Library

(include/la.h, lib/libla.so)

• Purpose: Provides fundamental operations for matrix and vector computations.
• Features: Includes functions for matrix multiplication, vector addition, decomposition methods, and basic linear algebra operations.

2. Calculus Library

(include/calc.h, lib/libcalc.so)

• Purpose: Provides fundamental operations for matrix and vector computations.
• Features: Includes functions for matrix multiplication, vector addition, decomposition methods, and basic linear algebra operations.

3. Dataset Management Library

(include/data.h, lib/libdata.so)

• Purpose: Facilitates efficient handling of datasets, including reading from CSV files, data splitting, instance management, and feature scaling.
• Features: Supports dataset manipulation, printing of dataset information, and management of training and test sets.

4. Neural Network Library

(include/nn.h, lib/libnn.so)

• Purpose: Implements essential components for building and training neural networks.
• Features: Provides functionalities for defining network architectures, forward and backward propagation, gradient descent optimization, and network evaluation.

Key Features

• Modular Design: Each library is designed with a modular structure, allowing easy integration into existing projects.
• Optimized Performance: Libraries are optimized for performance and memory efficiency, suitable for both small-scale experiments and large-scale computations.
• Comprehensive Documentation: Extensive documentation for each library, including function descriptions, parameters, return values, and usage examples.
• Cross-Platform Compatibility: Libraries are compatible across different operating systems and compilers, ensuring versatility and ease of use.

Usage

Developers can incorporate these libraries into their C projects by including the respective header files (*.h) and linking against the compiled shared objects (*.so). Detailed usage examples and documentation are provided in each library's repository for seamless integration and rapid development.