Name: Cihan Bosnalı
Type: User
Company: The University of British Columbia (Student)
Bio: Computer Engineering Student @ UBC.
Navigation Team Lead @UBCAgroBot.
Co-founder and Former Team Captain @SAC-PhoeniX
Twitter: CihanBosnali
Location: Vancouver, BC, Canada
Blog: cihanbosnali.com
Cihan Bosnalı's Projects
My old blog/personal website which I used between december 2018 and august 2019
A great strategy game to play
Generating new city names using a LSTM network on Tensorflow TFLearn and a dataset of all city names of US.
A decrytpter for old ciphers. Currently supports all ciphers used in Gravity Falls.
Encrypt and decrypt messages on Ceaser, Atbash, A1Z26 and Vigenere ciphers in English or Turkish.
K-NN is a basic classification algorithm that can classify a data using its distance to other data points. I wrote a KNN algorithm without using any Machine Learning libraries such as scikit-learn etc.
A online open-source game about Köroğlu story. Köroğlu is a Turkish people's story.
An algorithm to solve 0-1 labyrinths-Swift Playgrounds
Hey everyone! I started to learn a new programming language: Java. I'm sharing the exercises that I wrote while learning.
This repo contains Jupyter Notebooks which I created while learning Tensorflow. I update this repo when I learn new Tensorflow Features
Today, using machine learning algorithms is as easy as "import knn from ..." but it doesn't really help if you want to learn how the algorithms work
Solving maze problems from images autonomously.
Neural Network is a technique used in deep learning. I created a neural network without using any libraries except numpy.
Generate websites in the style of my personal portfolio website cihanbosnali.com. Inspired by streaming services.
I trained a custom image classifier using Cars Classification Dataset from Stanford and used in real-time.
This documentation is a simple guide for Python made after 'SAC CODE LECTURES' which is a course for beginners organized in SEV American Collage by Cihan Alperen Bosnalı and Ekin Oral. Documentation is both in English and Turkish.
SVM is a machine learning technique and I wrote a SVM algorithm using no ML libraries such as Scikit Learn etc. I only used numpy for math and matplotlib for graphs
Build terminal user interfaces and dashboards using Rust