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  1. The Indus script optical grapheme recognition engine (from archaeological artifact images)

    Python 7 1

  2. Multiscale Graph Correlation (and other independence and K-sample tests) in Python

    Jupyter Notebook 8 2

  3. Built a system to automatically generate natural language descriptions of images using deep learning, computer vision and image processing techniques

    HTML 1

  4. Deep Convolutional Random Forests

    Jupyter Notebook

  5. Pokemon Visual Question Answering | Deep Learning | CS682 | JHU | Final Project

    Jupyter Notebook

  6. Experiments on building a machine learnt model for classifying text data into a chosen set of seven basic emotions.

    HTML 13 19

583 contributions in the last year

Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Mon Wed Fri
Activity overview
Contributed to neurodata/mgcpy, tpsatish95/deep-conv-rf, tpsatish95/file_indexer and 5 other repositories

Contribution activity

March 2019

12 contributions in private repositories Mar 5 – Mar 11

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