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Created over 4 years ago
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RaffayHusayn

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Collaborative Filtering Model developed using Tensorflow and trained on MovieLens Dataset. This Model is based on Neural Collaborative Filtering research paper.

Custom-LinkedList-Implementation

Implementing a custom Linked List using Java Generics

Java

Spring-JavaConfig-Boilerplate

Java-LeetCode

React-Travel-Journal

SpringMVC

SpringBootRest

React-Meme-Generator

JavaCore

React-Airbnb-Clone

Custom-Heap-Implementation

Java

Spring-App

Java

IMDb-Scraper

Command Line web scraper for IMDb written in Jsoup. Options to save scraped data to either a Database or a CSV file.

SpringDataRest-API

React-Display-List

JunitLeet

IMDb-Image-Scraper

GoodReadsClone-DataLoader

Java

React-Digital-Business-Card

JavaScript

Tmux-Dotfile

JerseyRest

Java

SpringBoot-Boilerplate

Java

MavenHibernate

Java

Tenzies-Game

Tenzies web app built using React

JavaScript

GoodReadsClone

A Good Reads Clone with Cassandra and Spring Boot backend to reliably handle millions of book records from Openlibrary.

Java

nvim-config

Vim Script

Numpy

Python

Content-Based-Filtering

Content-Based Filtering based on Cosine Similarity developed using Scikit-Learn and NLTK. The model is trained on MovieLens Dataset. The model uses Natural Language Processing to make better predictions.

Python

CustomSpringBootFromMaven

This is an attempt to custom build something similar to what we get from Spring Boot by starting with a simple quick-start archetype Maven project

Java

SpringBootJWT

RESTful API with JWT Access and Refresh tokens using Spring Data JPA, Spring Boot, Spring Security and MySQL

Java

RaffayHusayn/Collaborative-Filtering

RaffayHusayn

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