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  1. In this mini-experiment, I build a classifier that finds if the person(s) in a given image are happy or not.

    Jupyter Notebook

  2. A JIRA Bot that can train a machine learning model and comment related JIRA IDs on a list of JIRA issues.

    Jupyter Notebook 1 2

  3. This repo contains my notes and learnings, as well as the code that goes with it. All the things are related to AI.

    Jupyter Notebook

  4. A simple twitter bot that runs on raspberry pi and could return its IP address and more info.


  5. Multiple approaches tried for Object classification on Caltech 101 Dataset

    Jupyter Notebook

  6. 1
    ### Troubleshooting Convolutional Neural Networks 
    #### Intro
    This is a list of hacks gathered primarily from prior experiences as well as online sources (most notably [Stanford's CS231n]( course notes) on how to troubleshoot the performance of a convolutional neural network . We will focus mainly on supervised learning using deep neural networks. While this guide assumes the user is coding in Python3.6 using tensorflow (TF), it can still be helpful as a language agnostic guide.

176 contributions in the last year

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Activity overview

Contribution activity

April 2019

12 contributions in private repositories Apr 3 – Apr 6

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