Go-ML Framework
A systems-level Machine Learning framework ported from the C-based nn.h architecture to Golang.
Unlock the power of from-scratch Machine Learning with our Go-based neural engine! Featuring manual matrix operations, pointer-level memory optimization, and modular activation layers, it offers a transparent look into the math behind the models.
Overview
Step into the world of low-level AI with Go-ML, a minimalist neural network framework that prioritizes mathematical transparency and performance. By porting the renowned nn.h architecture to Golang, this project eliminates the "black box" of modern ML libraries. It offers an intuitive yet powerful API for building, training, and testing neural networks directly on the CPU, making it the perfect tool for systems engineers exploring AI.
Key Features:
Pointer-Optimized Matrix Operations
Customizable Backpropagation Engine
Modular Activation Functions (ReLU, Sigmoid, TanH)
Lightweight & Dependency-Free Core
CPU-Bound Training Optimization
