Cihan Bosnalı's repositories
Machine-Learning-without-Libraries
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
Neural-Network-without-ML-Libraries
Neural Network is a technique used in deep learning. I created a neural network without using any libraries except numpy.
Support-Vector-Machine-without-ML-libraries
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
K-Nearest-Neighbors-without-ML-libraries
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.
Maze-Solver-Vision
Solving maze problems from images autonomously.
Learning-Java
Hey everyone! I started to learn a new programming language: Java. I'm sharing the exercises that I wrote while learning.
Learning-Tensorflow
This repo contains Jupyter Notebooks which I created while learning Tensorflow. I update this repo when I learn new Tensorflow Features
Real-Time-Cars-Classification-Using-Keras
I trained a custom image classifier using Cars Classification Dataset from Stanford and used in real-time.
Ant-Strategy-Game
A great strategy game to play
koroglu-game
A online open-source game about Köroğlu story. Köroğlu is a Turkish people's story.
personal-website-22-template
Generate websites in the style of my personal portfolio website cihanbosnali.com. Inspired by streaming services.
2018-Personal-Website
My old blog/personal website which I used between december 2018 and august 2019
City-Name-Generation-using-LSTM-and-TF
Generating new city names using a LSTM network on Tensorflow TFLearn and a dataset of all city names of US.
Encrypter-Easy
Encrypt and decrypt messages on Ceaser, Atbash, A1Z26 and Vigenere ciphers in English or Turkish.
Labyrinth-AI
An algorithm to solve 0-1 labyrinths-Swift Playgrounds
SAC-Code-Lectures-Documentation
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.