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YusefBM's starred repositories

java-design-patterns

Design patterns implemented in Java

Language:JavaNOASSERTION87798 3777 936

awesome-scalability

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

nerd-fonts

Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more

Language:CSSNOASSERTION52207 387 950

Badges4-README.md-Profile

:octocat: Improve your README.md profile with these amazing badges.

Language:Markdown9803 48 134

sourcerer-app

🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.

Language:KotlinMIT6724 67 372

joe

:running: A .gitignore magician in your command line

Language:GoMIT2872 37 55

aws-glue-samples

AWS Glue code samples

Language:PythonMIT-01403 77 86

node-chat

:speech_balloon: Chat application built with NodeJS and Material Design

Language:JavaScriptMIT754 40 35

zircon

Zircon is an extensible and user-friendly, multiplatform tile engine.

Language:KotlinApache-2.0743 28 318

edlib

Lightweight, super fast C/C++ (& Python) library for sequence alignment using edit (Levenshtein) distance.

Language:C++MIT487 22 174

IScala

Scala backend for IPython

Language:ScalaMIT321 31 30

dbtoaster-backend

The current backend of DBToaster, implemented in Scala.

Language:C++Apache-2.061 17 87

nine-cards-backend

An Open Source Android Launcher built with Scala on Android

Language:ScalaNOASSERTION60 26 8

scala-http4s-realworld-example-app

Example of a RealWorld app backend powered by Scala + http4s

Language:ScalaApache-2.043 50

array-mixer

Powerful, super tiny and easy to use lib to reorder your javascript arrays.

Language:JavaScriptMIT37 3 5

backend

Reddit-clone demonstrating how larger, DDD-based, event sourced, purely FP application could be implemented in Scala (if requirements would justify certain costs!).

Language:ScalaAGPL-3.035 4 30

This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.

Language:Python26 10