Lib.rs

🚀 Ferrite

A modern, robust, and simple-to-use ML framework in Rust for pure performance and memory safety.

⚡ What is Ferrite?

Ferrite is a memory-safe and simple to use Machine Learning framework written in Rust. It provides an intuitive API while ensuring high efficiency and control over computations.

🔹 Performance-Driven – No overhead, just raw speed. (Work in Progress 🚧)
🔹 Memory-Safe – No segfaults, no leaks, just Rust.
🔹 Easy to Use – Simple API for rapid ML development.

📌 Features

✅ Supervised Learning

• k-Nearest Neighbors (KNN)
• Linear Regression
• Logistic Regression
• Support Vector Machines (SVM) (Work in Progress 🚧)
• Random Forests (Work in Progress 🚧)

✅ Deep Learning

• Neural Networks (Work in Progress 🚧)

✅ High Performance

• Built using Rust’s powerful ndarray.

✅ Zero-Cost Abstractions

• Compile-time safety with no runtime penalties.

🚀 Installation

To add Ferrite to your Rust project, simply include it in your Cargo.toml:

📜 Roadmap

📌 Implement more ML models like Decision Trees & Gradient Boosting.
📌 Optimize performance using SIMD & GPU acceleration.
📌 Provide a high-level API similar to Scikit-Learn.

🤝 Contributing

Want to make Ferrite better? Feel free to contribute!
1. Fork the repo 🍴
2. Create a branch 🔧
3. Commit your changes 💡
4. Submit a pull request 🚀

🛡️ License

Ferrite is MIT Licensed, so you can use it freely in your projects!
Ferrite