SoftwareX (Jul 2023)

ManufacturingNet: A machine learning toolbox for engineers

  • Akshay Antony,
  • Chakradhar Guntuboina,
  • Rishikesh Magar,
  • Lalit Ghule,
  • Ruchit Doshi,
  • Aman Khalid,
  • Sharan Seshadri,
  • Amir Barati Farimani

Journal volume & issue
Vol. 23
p. 101478

Abstract

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The growing deployability of artificial intelligence (AI), accessibility to large amounts of data and new computing technologies are causing a disruption in the manufacturing industry. Artificial Intelligence tools need a considerable amount of programming knowledge and, thus, remain obscure to engineers inexperienced with programming. To overcome these barriers, we propose ManufacturingNet, an open-source machine learning tool that enables engineers to develop complex machine learning and deep learning models with minimal programming and data science experience. We have also curated nine publicly-available datasets and benchmarked their performance. We believe ManufacturingNet will enable engineers around the world to develop machine learning models with ease, contributing towards the larger movement of the 4th industrial revolution.

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