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amifunny/README.md

Hey, ⛅

Thanks for stopping by. Feel free to explore my repos and view my resume - https://drive.google.com/file/d/17_cFVrzhB1egVfm5BVdCkbbOnNFdGwMN/view?usp=sharing

Key Programming Languages -

Also worked with -

Skills & Tools 🚀 -

  • Full-Stack Web Development

  • Machine Learning

  • Chrome Extension Development

  • Other

Projects -

  • PetSpot - Pet Owners' Social Networking application
  • Trend Store - An online shopping app using Django
  • Pro-Manage - A Kanban Board application to manage projects
  • HorcruxZ - A FPS Shooter with Horcruxes to protect and kill zombies
  • tf-stitch - Pip Package to quick start deep learning projects.
  • Chrome-Extensions -
  • Piano-Synth - Virtual Piano with Deep Learning assist to create music.
  • Recommendation System - SVD, KNN, and Bandits for Movie recommendation
  • Reinforcement Learning - Popular Algorithms of RL implemented in GYM
  • Deep Learning - I love DL. I won't call it research but I do tweaking and experimenting with Neural Networks.
  • Save-Your-Head Game : My new interest is making games. Do try it out.
  • CommentX : A Chrome extension to read and write comments on any web url. It is a complete discussion platform in form of extension.

My DDPG tutorial on Keras website - https://keras.io/examples/rl/ddpg_pendulum/

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  1. PetSpot Public

    Pet Owners' Social Networking application

    JavaScript

  2. pro-manage Public

    An online Kanban Board to manage projects

    JavaScript

  3. tf-stitch Public

    Starter code with best practices for different Deep Learning problems in one command.

    Python 8

  4. likely Public

    Likely - is a python application that implements various recommendation methods like KNN, Bandit and SVD in plug and play style.

    Python 8

  5. Reinforce_Adventure Public

    This Repository contains my implementation of popular algorithms on popular environments.

    Python 5 1

  6. Scrape-Pad-Browser-Extension Public

    Chrome Extension to quickly note down written stuff from websites and prepare a document.

    JavaScript

301 contributions in the last year

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Activity overview

Loading A graph representing amifunny's contributions from January 28, 2024 to January 30, 2025. The contributions are 47% commits, 32% pull requests, 21% code review, 0% issues. 21% Code review   Issues 32% Pull requests 47% Commits

Contribution activity

January 2025

57 contributions in private repositories Jan 7 – Jan 30
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