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@UERJ-LIVIA

Laboratório Interdisciplinar Virtual de Inteligência Artificial (LIVIA)

Popular repositories

  1. fat-carona fat-carona Public

    Python 2 4

  2. Kennard-Stone-Mahalanobis Kennard-Stone-Mahalanobis Public

    As Tensorflow Kennard-Stone algorithmin uses euclidean distances, the need for an adaptation arrises when dealing with a big vector space that has unknown correlations between its variables, it may…

    Jupyter Notebook

  3. Reactor-NN Reactor-NN Public

    In this work it is made the mathematical modeling of an Continuous Stirred Tank Reactor, followed by a Design of Experiments for it's initial parameters and Simulation. Then, using Colab, Tensorflo…

    Jupyter Notebook

  4. PINNs PINNs Public

    Physics Informed Neural Networks

    Jupyter Notebook

  5. AI_Helen AI_Helen Public

    Python

  6. appfat appfat Public

    Forked from pedrosouzacan/appfat

    new branch created only to test and keep new changes into the Appfat Caronas project !

    Python

Repositories

Showing 10 of 10 repositories
  • App-FAT2 Public Forked from MattLimaNascimento/App-FAT

    Criação de um app com objetivo de conectar todo o campus UERJ!

    JavaScript 0 3 0 0 Updated Nov 28, 2023
  • App-FAT Public Forked from MattLimaNascimento/App-FAT

    Criação de um app com objetivo de conectar todo o campus UERJ!

    JavaScript 0 3 0 0 Updated Nov 27, 2023
  • Elmer Public
    0 0 0 0 Updated Oct 14, 2023
  • aula-django-1 Public
    Python 0 1 0 0 Updated Sep 24, 2023
  • fat-carona Public
    Python 2 4 0 0 Updated Sep 23, 2023
  • appfat Public Forked from pedrosouzacan/appfat

    new branch created only to test and keep new changes into the Appfat Caronas project !

    Python 0 1 0 0 Updated Sep 19, 2023
  • AI_Helen Public
    Python 0 0 0 0 Updated Jun 6, 2022
  • PINNs Public

    Physics Informed Neural Networks

    Jupyter Notebook 0 0 0 0 Updated Mar 18, 2022
  • Kennard-Stone-Mahalanobis Public

    As Tensorflow Kennard-Stone algorithmin uses euclidean distances, the need for an adaptation arrises when dealing with a big vector space that has unknown correlations between its variables, it may improve a lot neural networks performance.

    Jupyter Notebook 0 0 0 0 Updated Oct 12, 2021
  • Reactor-NN Public

    In this work it is made the mathematical modeling of an Continuous Stirred Tank Reactor, followed by a Design of Experiments for it's initial parameters and Simulation. Then, using Colab, Tensorflow, Keras-Tuner and Sklearn, a Neural Network was trained, together with other machine learning tools for predicting when a Continuous Stirred Tank Rea…

    Jupyter Notebook 0 0 0 0 Updated Oct 12, 2021

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