Giter Club home page Giter Club logo

👋 Hi, I’m @ibrahimayaz

Github stats 1

İbrahim AYAZ's Projects

fabric-defects-detection-yolov5 icon fabric-defects-detection-yolov5

Developing a robust deep learning based fabric defect detection model which can potentially detect and localize simple defects that occur during the production of fabric

fabricdefectdetection-1 icon fabricdefectdetection-1

A visual tool using digital image processing knowledge and PyQt library for defect detection of woven fabric

fancybox icon fancybox

jQuery lightbox script for displaying images, videos and more. Touch enabled, responsive and fully customizable.

fcm icon fcm

A simple implementation of the Fuzzy C-Means Clustering (FCM) in MATLAB/GNU-Octave.

fila-gan icon fila-gan

Filamenter Yapılı Görüntülerin GAN'larla Sentezlenmesi

fren-tasarim-sistemi icon fren-tasarim-sistemi

Bulanık Çıkarım Yöntemlerini Kullanarak Fren Tasarım Sisteminin Python Uygulaması

fuzzy-c-means-algorithms icon fuzzy-c-means-algorithms

项目基于论文《Fuzzy c-Means Algorithms for Very Large Data》，使用Python语言实现FCM算法及其扩展算法，包括FCM、spFCM、oFCM、kFCM、reskFCM、spkFCM、okFCM。

fuzzycmeans icon fuzzycmeans

A Python 2 implementation of Fuzzy C Means Clustering algorithm.

heysaw icon heysaw

Retinal Disease (CNV, DME, DRUSEN, NORMAL) Diagnosis Tool

image_segmentation_brain_mri icon image_segmentation_brain_mri

Training a Unet Model to segment and predict masks from Brain MRI images. (UNet, CNN, Intersection Over Union, Dice Co-efficient)

kapsamli_derin_ogrenme_rehberi icon kapsamli_derin_ogrenme_rehberi

Bu çalışma araştırmalar yaparken benzerlerine rastlayıp iyileştirerek derlemeye çalıştığım ve derin öğrenme (deep learning) konusunda kısa bir özet ve bolca kaynak yönlendirmesi olan (hatta sonunda koca bir liste var) hızlıca konuya giriş yapılabilinmesi için gereklilikleri özetlemektedir. Lütfen katkı vermekten çekinmeyin 👽

keras-flask-deploy-webapp icon keras-flask-deploy-webapp

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

kfoldholdoutknn icon kfoldholdoutknn

GUI design using K Fold, Random Sampling and KNN Algorithm. C# Implementation

mlnetmushroom icon mlnetmushroom

Microsoft ML.net Binary classfication sample with mushroom data

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.