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    • 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.
      Kotlin
      24700Updated Oct 26, 2025Oct 26, 2025
    • Empower your data science workflows with Kotlin's type safety and expressiveness—now in Jupyter notebooks.
      0014Updated Oct 24, 2025Oct 24, 2025
    • Project's website
      0010Updated Sep 29, 2025Sep 29, 2025
    • A structured, scripted dataset compliant with the specifications defined by the gradienttracer test framework, serving as the authoritative reference for validating SkaiNET library calculations.
      Python
      0010Updated Sep 24, 2025Sep 24, 2025
    • Sample applications using skainet library
      0250Updated Sep 20, 2025Sep 20, 2025
    • miKrograd

      Public
      Kotlin port of a tiny scalar-valued autograd engine and a neural net library with PyTorch-like API
      Jupyter Notebook
      2k110Updated Sep 3, 2025Sep 3, 2025
    • Python library for generating reference test data for differentiation using PyTorch
      Kotlin
      0050Updated May 3, 2025May 3, 2025
    • Building block implemnting transformes using skainet
      Kotlin
      0000Updated Apr 1, 2025Apr 1, 2025
    • skainet port of "Dive into Deep Learning" book - d2l.ai
      0070Updated Mar 29, 2025Mar 29, 2025
    • .github

      Public
      0000Updated Mar 28, 2025Mar 28, 2025