Rushang Gajjal (RusherRG)

RusherRG

Geek Repo

Company:@Team-Probably

Location:Mumbai, Maharashtra, India

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Organizations
Auto-DL
kjsce-codecell
Team-Probably

Rushang Gajjal's repositories

Reinforcement-Learning-Algos

Reinforcement Learning solution of the OpenAI Gyms

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Proxy-Manager

A Proxy server built using Python to learn about the Elastic Stack and Auto Scaling

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Safely-Reached

Safe Travel Routes for a Happy Journey

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LoFi-Music-Generator

Using Variational Autoencoders (VAE) to generate LoFi Music

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NoteBin

Rip-off of notepad.pw

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Amazon-Products-Review-Classification

Sentiment Analysis for amazon product reviews of OnePlus 6T

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Hack-it

Platform for hack-it, a crackathon event held during abhiyantriki 2019

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Memefier

Replaces all the images on a webpage to Memes on the click of a button

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API-workshop

Collection of all the APIs created by the team as part of the API workshop

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Auto-DL

Auto-DL helps you make Deep Learning models without writing a single line of code and giving as little input as possible.

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Chatbot-Codecell

A registration bot made for the ChatBot Bootcamp

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CSA-Project

Performance Modelling - RISC-V processor. This project implements cycle-accurate simulators of a 32-bit RISC-V processor in Python

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easy-license

API to easily license your services

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GitHubGraduation-2021

Join the GitHub Graduation Yearbook and "walk the stage" on June 5.

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k8s-deployment

Kubernetes configuration for deployment of Auto-DL

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MARLIO

Training agents to compete and/or cooperate with other agents in an already existing 2D environment using Deep Reinforcement Learning algorithms to win games and defeat other agents.

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Python-Automation-Workshop

Collection of automation scripts for KJSCE CodeCell Python-Automation Workshop

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SocGroups

Society Management System for aiding security

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tvarit-hackathon

Codes and documents related to inetrnal hackathon are to be stored in here

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CircuitPyController

Use CircuitPY to add a new USB Keyboard

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DL-Miniproject

This repository contains the code used to train a modified implementation of ResNet on the CIFAR-10 dataset to achieve the highest test accuracy

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lind_project

Lind: Secure Lightweight Cloud Computing

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RLGymBoost

The project aims to train Reinforcement learning algorithms and boost the algorithms to represent the goal of achieving higher rewards through the optimization and tuning of RL models

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safeposix-rust

Rust implementation of SafePOSIX

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