yunuseysr

advent-of-Code-2021

aima-java

Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

ashishpatel26

ashishpatel26

awesome-haskell

A collection of awesome Haskell links, frameworks, libraries and software. Inspired by awesome projects line.

book-exercise-docs

This repo contains documentation templates you can use to track your progress as you work through each 'Programming the Internet of Things' Lab Module.

book-exercise-tasks

This repo is for issues / tasks ONLY. All programming and related exercises for each chapter of 'Programming the Internet of Things' are listed here.

box2d-netstandard

C# port of Box2D - Erin Catto's 2D Physics Engine

VeriGorsellestirmeGlobalAIHub

Code samples included in the first Module of the training prepared by Global AI Hub.

yunuseysr

yunuseysr.github.io

My Personel Web Site

yunuseysr/gaih_pybtcmp-29

yunuseysr/advent-of-Code-2021

yunuseysr/ashishpatel26

ashishpatel26

yunuseysr/book-exercise-docs

This repo contains documentation templates you can use to track your progress as you work through each 'Programming the Internet of Things' Lab Module.

yunuseysr/book-exercise-tasks

This repo is for issues / tasks ONLY. All programming and related exercises for each chapter of 'Programming the Internet of Things' are listed here.

yunuseysr/VeriGorsellestirmeGlobalAIHub

Code samples included in the first Module of the training prepared by Global AI Hub.

yunuseysr/yunuseysr

yunuseysr/yunuseysr.github.io

My Personel Web Site

yunuseysr/Catering-Scheduling-Problem

The project was prepared in the content of Multithread method in Operating Systems course. (in MCBU)

yunuseysr/Cins-Biscuits

Deep Learning is becoming a very popular subset of machine learning due to its high level of performance across many types of data. A great way to use deep learning to classify images is to build a convolutional neural network (CNN). The Tensorflow library in Python makes it pretty simple to build a CNN. The main purpose of this experiment, training biscuits and separate them into two categories. Shape and Type of made in our experiment, we have two shapes of biscuits, round and rectangular. We also have two types as Cocoa Biscuits and Normal (Milky) Biscuits. In our experiment we start with collecting data and labeling after that we classify images and train that with the position (label) argument. So our last stage is Real-time classification images with the open-cv library.

yunuseysr/code-space

yunuseysr/codeSTACKr

yunuseysr/DHANOLA

yunuseysr/face-api.js

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

yunuseysr/fehimenuruysal

yunuseysr/Furkan-Gulsen

yunuseysr/gaih-data_analyze

Global AI Hub ve EnerjiSA tarafından sağlanan veriye dair her şeyin içerdiği eğitimdir. Eğitim'e erişmek için -> https://globalaihub.com/courses/veri-analizi/?ref=yunusemreyasar

yunuseysr/github-readme-streak-stats

🔥 Stay motivated and show off your contribution streak! 🌟 Display your total contributions, current streak, and longest streak on your GitHub profile README

yunuseysr/HackerRank-AtakanKizilyuce

Atakan's HackerRank Solutions

yunuseysr/ISO-3166-Countries-with-Regional-Codes

ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets

yunuseysr/java-components

This is the source repository for the Programming the Internet of Things - Gateway Device Java code.

yunuseysr/myprojectecommerce

This dataset contains information about the customer and its location. You can use this dataset to identify unique customers in the order dataset and find the delivery location of orders.

yunuseysr/pomodoro_app

yunuseysr/python-components

This is the source repository for the Programming the Internet of Things - Constrained Device Python code.

yunuseysr/python_notlandirma

yunuseysr/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

yunuseysr/ramazanogunc

yunuseysr/Shwetang550

yunuseysr/training_101

yunuseysr/zhenye-na

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