Overview
Vectorflow is a neural network library designed for efficiency in handling sparse data within single-machine environments. It focuses on providing a streamlined approach to building and deploying neural networks without requiring extensive dependencies. The library is distributed as a dub package, integrating easily into existing D programming language projects. Key features include optimized runtime speed using the LDC compiler and support for various platforms like Linux and macOS. Vectorflow supports tasks such as sparse logistic regression, demonstrated through provided examples. It leverages ddoc for documentation, enabling users to build and serve documentation locally. Its minimalist design makes it suitable for applications where resource constraints and data sparsity are primary concerns, offering a lightweight alternative to more complex neural network frameworks.