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Researching in AI and beyond.
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Researching in AI and beyond.

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  1. The-NucleoNets The-NucleoNets Public

    A novel deep polygenic neural network for predicting and identifying yield-associated SNPs in Indonesian rice accessions.

    Python 1 1

  2. Neuroimage-Classif-ASD Neuroimage-Classif-ASD Public

    Transfer Learning using InceptionResNetV2 to the Augmented Neuroimage Data for the Autism Spectrum Disorder (ASD) Classification, using ABIDE I dataset.

    Python 4 2

  3. Machine-Learning-Resources Machine-Learning-Resources Public

    Shallow and Deep Learning resources. Programming Language: Python 3.7 and R | IDE: Jupyter Notebook and RStudio

    Jupyter Notebook

  4. Stochastic-VIF-ID-Rice-SNPs Stochastic-VIF-ID-Rice-SNPs Public

    By leveraging ensemble learning, this program can be used to analyze the Linkage Disequilibrium between SNPs in each Indonesian rice chromosomes. Developed using Python 3.9.12.

    Jupyter Notebook

  5. Digital-Image-Processing Digital-Image-Processing Public

    Gradual Steps of Digital Image Processing (+ Computer Vision). Programming Language: Python 3.7 with IDE: Jupyter Notebook

    Jupyter Notebook 1

  6. PayLater-Profit-Optimizer-Framework PayLater-Profit-Optimizer-Framework Public

    Jupyter Notebook