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  1. Study of Deep learning models by experimenting with the different hyper-parameters.

    Jupyter Notebook

  2. Implementing the different architectures from data loading to training in Pytorch

    Jupyter Notebook 1

  3. Implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks paper.

    Jupyter Notebook 2

  4. Name Entity Recognition via CNN+BiLSTM+CRF architecture using pytorch

    Python 1 1

  5. Experiment with SVHN dataset

    Jupyter Notebook

  6. House Prices: Advanced Regression Techniques kaggle competition

    Jupyter Notebook

31 contributions in the last year

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Contribution activity

December 2021

shaurya27 has no activity yet for this period.
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