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siddikayyappa/README.md

Siddik Ayyappa Naraharisetti

Senior Student @ IIIT-H; Honours Student in Cognitive Science Lab, IIITH

Hey there, I am Siddik Ayyappa.

My Interests:

  • Deep Learning
  • Full Stack Web development
  • Competetive Programming and DSA

I have a YouTube channel, do check it out for the projects I have worked on. Sometimes, I make a demo of them.

How to Contact Me (Equally Active on Both)

Check my Online Profiles:

drawing

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  1. Deep-Learning-Gradient-Descent-Variants Deep-Learning-Gradient-Descent-Variants Public

    This repository contains various tools of machine learning like the GRADIENT DESCENT and others, implemented from scratch using packages like numPy, matplotlib, pandas

    Jupyter Notebook

  2. Syllable-Stress-Classification Syllable-Stress-Classification Public

    This is the work I have done on my honours, 5th Semester, IIITH. Working on a classification problem, have to classifiy the encoding of a spech signal, depending upon, if it's classified, or it is …

    Jupyter Notebook

  3. MNIST-classification MNIST-classification Public

    The Following repository contains the code for the MNIST classification tasks, with the help of various machine learning techiniques, like DNN, CNN, K-means, GMM

    Jupyter Notebook

  4. PCA-Regression-Nearest-Neighbours PCA-Regression-Nearest-Neighbours Public

    This is the source code of the work for Assignment-2, Statistical Methods in AI, 5th Semester, IIITH, '22

    Jupyter Notebook

  5. RecSelf-Prototype RecSelf-Prototype Public

    Prototype of ResSelf: YouTube, but with a feed focused on your taste, rather than screentime.

    JavaScript

  6. RNN-GRU-LSTM RNN-GRU-LSTM Public

    This is the repository of the source code of DLTP Assignment - 2, 5th Semester, IIITH

    Jupyter Notebook