RockyML Documentation

RockyML

RockyML is a scientific computing framework that tries to provide high-performance solutions to non-smooth machine learning problems.

📔 Table of Contents

• Getting Started
  • Using RockyML with CMake
• Zagros | An Optimization Framework for HPC Clusters
  • What is Zagros?
    
  • Create your first optimizer with Dena and Zagros
  • Define a custom optimization problem in Zagros
  • Designing search algorithms with Dena
  • Block optimization for large problems
  • Distributed optimization, Basic example
  • Landscapes, Test problems for optimization
• Etna | Non-differentiable Neural Networks (WIP)
• About

Source Code

The source code is hosted on RockyML GitHub repository.