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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

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

    Jupyter Notebook

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


  5. Experiment with SVHN dataset

    Jupyter Notebook

  6. House Prices: Advanced Regression Techniques kaggle competition

    Jupyter Notebook

4 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Mon Wed Fri

Contribution activity

March - May 2019

shaurya27 has no activity yet for this period.

February 2019

Opened their first issue on GitHub in plasticityai/magnitude

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