SKaiNET is an open-source Kotlin-based developer-oriented machine learning framework built with a device-first philosophy
- Built entirely in Kotlin for a seamless developer experience.
- Focus on exceptional efficiency and remarkable portability as standout features.
- Comprehensive support for distributed computing and training.
- User-friendly API that simplifies the development of innovative ML models.
- Allows for seamless integration into existing Kotlin and JVM-based projects.
- Designed to elevate ML endeavors for software developers, not just data science experts.
- Blends power, flexibility, and developer accessibility for next-generation ML frameworks.