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  1. Reduce the model complexity by 612 times, and memory footprint by 19.5 times compared to base model, while achieving worst case accuracy threshold.

    Jupyter Notebook 3 2

  2. Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016

    Python 120 50

  3. Face Detection, landmark detection and gender classification in a unified workflow

    Python 4

  4. Binary to Decimal Encoder-Decoder using RNN with tensorflow

    Jupyter Notebook

  5. Collection of most popular Deep Learning architechtures trained with tensorflow, keras

    Python 3 2

  6. PDFs of Indian Electoral Rolls

    HTML 18 11

119 contributions in the last year

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

Contribution activity

August 2022

4 contributions in private repositories Aug 1 – Aug 11

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