RustyTorch

Overview

RustyTorch is a project aimed at trying and implementing a deep learning framework in Rust. The goal is to leverage Rust's performance and safety features to create a robust and efficient machine learning library.

Modules

Currently Working On

• Main Module

  • main.rs: Entry point of the application.

• Storage Module

  • mod.rs: Defines the Storage struct and its implementation.
  • utils.rs: Contains utility types and enums such as DataPtr, DataType, and Device.

Getting Started

To get started with RustyTorch, clone the repository and follow the instructions in the Cargo.toml file to set up the dependencies.

Contributing

Contributions are welcome! Please refer to the CONTRIBUTING.md file for guidelines on how to contribute to this project.

License

This project is licensed under the MIT License. See the LICENSE file for more details.