altimofeyev Goto Github PK

followers: 2.0 following: 14.0 repos: 20.0 gists: 0.0

Name: Al

Type: User

Bio: Success is not final ; Failure is not fatal. Journey before Destination. Never let them see your next move. Hakuna Matata, It means no worries!

Twitter: AlTimofeyev

Location: Riding Bears without a saddle

Blog: https://altimofeyev.github.io/portfolio/

Hi there, I'm Al 😁👋

Get To Know Me!

🎓 I am a Bachelor of Science in Computer Science
💡 I aspire to become a Software Engineer
🌱 I’m currently working on some personal projects and studying machine learning
🌼 My goal is to one day work in the AI/AR and Machine Learning fields
📜 I'm looking to learn new things and ask for help with everything I don't know
⚡ Fun Fact: I like codeing, drawing, gaming and reading in my free time to maintain my creativity
🍵 Pronouns: He/Him

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Al's Projects

benchmark_functions

A library of 18 standard Benchmark Functions was coded and tested. The benchmark functions library can be imported into other projects for ease of use.

benchmarkfunctionoptimization

This is a collection of optimization algorithms , all in one place for Resume.

client-serverairfare

A client/server program for purchasing airfare tickets on a plane.

cwushell

A mini shell written in C/C++ for my CS 470 - OS course at CWU. It implements about 4 personal commands as well as all other shell commands. The coded forks the program into several processes.

datastructures

A collection of different data structures

forkednumbersorting

Sorting numbers in a file using forking and piping.

geneticalgorithm-maximizefunction

An implementation of a genetic algorithm used to maximize a function, f(x, y).

github-readme-stats

:zap: Dynamically generated stats for your github readmes

machine-learning-visualization

CS 480/481 Senior Capstone Project

optimization-algorithm-visualizer

Basic Optimization Algorithm Visualizer using Processing.

optimization-evolutionary_algorithms

An implementation of 2 evolutionary algorithms: Genetic Algorithm and Differential Evolution. Both algorithms are made to be modular and easily importable to other projects for use.

optimization-search_algorithms

An implementation of 3 Search Algorithms: Blind Search, Local Search, Iterative Local Search. The search algorithms are made to be modular and easily importable to other projects for use. NOTE: This project uses Mersenne Twister Pseudo-Random Number Generator.