2016 Grant Accomplishment Report

The following projects have been completed, and their deliverables have been accepted by the grant committee.


Tensorflow.rb

Project summary

This project aims at making Tensorflow.rb completely compatible with Tensorflow C API. Currently many interesting developments are taking place in Tensorflow and by the end of the project all the functionalities of the C API of Tensorflow must be easily accessible from the Ruby API.

Applicant

Arafat Khan

Final report

Final report (PDF)

Mentor’s report

Mentor’s report (PDF)


Rubex - A new language for writing Ruby extensions

Project summary

Rubex is basically a superset of the Ruby Programming Language that will allow users to write Ruby C extensions for the CRuby interpreter without having to leave the comfort of Ruby.

To summarize, the objectives of the Rubex project are as follows:

  • Provide a Ruby-like syntax for writing C extensions.
  • Completely abstract the CRuby C API from the user.
  • Allow Ruby code to co-exist with Rubex-specific syntax.
  • ltimately generate C code for writing Ruby extensions

Applicant

Sameer Deshmukh

Final report

Final report (PDF)

Mentor’s report

Mentor’s report (PDF)


Ruby System for Elementary Statistical Analysis

Project summary

We aim to “make Ruby a practical language in data science” and “develop and build an elementary statistical analysis pipeline”. Although some gems for data science such as Nyaplot or Daru has been developed, these gems are not yet widely used. The main causes are “immatureness of gem cooperation” and “lack of document”. For example, practical examples combining multiple packages are provided with detailed document, and there is no concern about these points in Python. Through the statistical analysis pipeline we will create a guide showing how to combine Ruby gems and how to input, analyze and visualize data. In addition we will improve existing gems and make cooperation between gems easier as well.

Applicants

Yoshihiro Ashida Yusuke Sangenya Kozo Nishida

Final report

Final report (PDF)

Mentor’s report

Mentor’s report (PDF)


Subproject libraries for Ruby/Numo

Project summary

I’ll implement a linear algebra library and a GSL library for NArray / Ruby Numo. The library numo-lapack will provides direct interface to LAPACK, and equivalent functionality which NumPy’s linalg.

Applicant

Makoto Kishimoto

Final report

Final report (PDF)

Mentor’s report

Mentor’s report (PDF)