Tags: data science

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Tools (1-11 of 11)

  1. Roll-to-Roll Manufacturing Data Ingestion

    12 Sep 2023 | Contributor(s):: Alejandro Strachan, Richard S Hosler, Juan Carlos Verduzco Gastelum

    Roll-to-Roll Manufacturing Data Ingestion tool to process data for the r2rdatabase sim2l

  2. No-code ML models

    18 Oct 2022 | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan

    No-code ML models

  3. ANN Model Generator

    Tools | 11 Jul 2022 | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan

    Simtool workflow to create ANN models for user datasets

  4. MATLAB R2021a

    Tools | 09 Sep 2021 | Contributor(s):: Gen Sasaki, Lisa Kempler

    MATLAB is a programming and numeric computing platform to analyze data, develop algorithms, and create models.

  5. tidyverse Data Science Tools for STEM Applications and Datasets

    Tools | 25 Jun 2021 | Contributor(s):: Rei Sanchez-Arias

    An introduction to dplyr, ggplot2, and other tidyverse data science tools in STEM applications

  6. A Hands-on Introduction to Physics-Informed Neural Networks

    Tools | 21 May 2021 | Contributor(s):: Atharva Hans, Ilias Bilionis

    A Hands-on Introduction to Physics-Informed Neural Networks

  7. Materials Simulation Toolkit for Machine Learning (MAST-ML) tutorial

    Tools | 07 May 2021 | Contributor(s):: Ryan Jacobs, BENJAMIN AFFLERBACH

    Tutorial showing the many use cases for the MAST-ML package to build, evaluate and analyze machine learning models for materials applications.

  8. DFT Results Explorer

    Tools | 17 Feb 2021 | Contributor(s):: Saaketh Desai, Juan Carlos Verduzco Gastelum, Daniel Mejia, Alejandro Strachan

    Use visualization tools to explore correlations in a DFT simulation results database

  9. Hands-on Deep Learning for Materials

    Tools | 10 Jun 2020 | Contributor(s):: Saaketh Desai, Edward Kim, Vinay Hegde

    This tool introduces users to deep learning techniques such as convolutional neural networks and variational auto encoders from a materials standpoint

  10. Querying Data Repositories

    Tools | 03 Apr 2020 | Contributor(s):: Zachary D McClure, Alejandro Strachan

    Query database repositories using Python based APIs and tips for managing data

  11. Machine Learning for Materials Science: Part 1

    Tools | 09 Feb 2019 | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan, Saaketh Desai

    Machine learning and data science tools applied to materials science