SiML: A Simulation ML library

SiML is a machine learning library focusing on geometrical and simulation data. It facilitates machine learning processes, including preprocessing, learning, and prediction. In particular, SiML has handy functionalities to handle geometrical data, which are in graph or point cloud formats in general.

Installation

SiML supports Python 3.9 or newer. SiML can be installed via pip (note that the name of the package is pysiml):

$ pip install pysiml

However, the name of the module used to import is siml.

import siml

Contents:

• Examples
• siml package
  • Subpackages
  • Submodules
  • siml.config module
  • siml.data_parallel module
  • siml.datasets module
  • siml.inferer module
  • siml.mains module
  • siml.optimize module
  • siml.prepost module
  • siml.setting module
  • siml.study module
  • siml.trainer module
  • siml.util module
  • Module contents

Indices and tables

• Index

• Module Index

• Search Page