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@sk-ai-net

sk-ai-net

SKaiNET

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.

Popular repositories Loading

  1. skainet skainet Public

    Skainet is an open-source deep learning framework written in Kotlin, designed with developers in mind to enable the creation modern AI powered applications with ease.

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  2. skainet-samples skainet-samples Public

    Sample applications using skainet library

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  3. miKrograd miKrograd Public

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    Kotlin port of a tiny scalar-valued autograd engine and a neural net library with PyTorch-like API

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  4. gradienttracer gradienttracer Public

    Python library for generating reference test data for differentiation using PyTorch

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  5. .github .github Public

  6. skainet-d2l skainet-d2l Public

    skainet port of "Dive into Deep Learning" book - d2l.ai

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