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Working on Knowledge Distillation and Graph CNNs
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Working on Knowledge Distillation and Graph CNNs
  • Northeastern University
  • Boston, MA
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  1. Machine-Learning-from-scratch Machine-Learning-from-scratch Public

    Implementation of supervised and unsupervised Machine Learning algorithms in python from scratch!

    Jupyter Notebook

  2. Computer-Vision Computer-Vision Public

    Face Detection | Smile Detection | Object Detection | Image Creation with GANs

  3. Deep-Learning Deep-Learning Public

    Neural Machine Translation using GRU, CIFAR10 Classification using CNN

  4. Text-Segmentation-on-a-Probabilistic-Unigram-Model-using-Viterbi-Algorithm Text-Segmentation-on-a-Probabilistic-Unigram-Model-using-Viterbi-Algorithm Public

    This study aims to extract hidden words from continuous text (obtained by removing spaces from original text) by detecting word boundaries and performing text segmentation using Viterbi Algorithm.

    Python 3

  5. Data-Mining Data-Mining Public

  6. Hypocenter-Detection Hypocenter-Detection Public

    Forked from karnuz/EqDetection

    Python 1