Dulyaaa

Dulyaaa's Stars

• Ebazhanov/linkedin-skill-assessments-quizzes

  Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

  28.5k36888913.3k

• j-delaney/easy-application

  Over 400 software engineering companies that are easy to apply to

  7.8k315441k

• emmabostian/developer-portfolios

  A list of developer portfolios for your inspiration

  7.4k736481.6k

• gitname/react-gh-pages

  Deploying a React App (created using create-react-app) to GitHub Pages

  Language:TypeScript6.6k43100918

• codewithsadee/vcard-personal-portfolio

  vCard is a fully responsive personal portfolio website, responsive for all devices.

  Language:HTML5.5k35312.3k

• imfing/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.

  Language:JavaScript1.2k3027472

• martinwoodward/octolamp

  A 3D printed, GitHub infused, smart light

  65310832

• jakeret/unet

  Generic U-Net Tensorflow 2 implementation for semantic segmentation

  Language:Jupyter Notebook25351388

• nikhilroxtomar/UNet-Segmentation-in-Keras-TensorFlow

  UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

  Language:Jupyter Notebook14383112

• AvanthikaMeenakshi/node-websockets

  Language:JavaScript1215161

• mkisantal/backboned-unet

  Build U-Nets for segmentation from pre-trained TorchVision models.

  Language:Python905320

• rekon/Smoke-semantic-segmentation

  Smoke detection via semantic segmentation using Baseline U-Net model & LinkNet and image augmentation

  Language:Jupyter Notebook766326

• petranb2/Node_Python

  A sample node.js app , that calls a python script and send data to browser

  Language:JavaScript423161

• adityajn105/brain-tumor-segmentation-unet

  Implementation of U-Net from paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" to segment tumor in given MRI images.

  Language:Jupyter Notebook364320

• lhelontra/squeeze-unet

  Squeeze-unet Semantic Segmentation for embedded devices

  Language:Python294213

• harshshinde07/MongoDB-Flutter

  A simple application to demonstrate how to use MongoDB in Flutter

  Language:C++21116

• r-sajal/DeepLearning-

  Language:Jupyter Notebook170011

• CodingSTUFF070/Nested-RecyclerView-Inside-Expandable-RecyclerView

  Language:Java13118

• sadekj/ionicandflask

  This repo to demonstrate ionic and flask working together for CFP students and staff

  Language:TypeScript41

• SristiDakshit/Sclera-Segmentation

  Language:Jupyter Notebook42

• Dirk-Sandberg/PlyerCameraTest

  Trying out the camera on android and ios

  Language:Python3212

• JanMarcelKezmann/python-flask-firebase-web-application

  Language:Python3201

• Mageshkumar1603/app_design5

  35

• abi-chatterjee/tensorflow-models-ionic-demo

  This is an Ionic hybrid app project to demonstrate the capabilities of TensorFlow Javascript Machine Learning Models.

  Language:JavaScript20

• georgezampoukis/ScleraU-Net2_SSBC

  Implentation & Training of U-Net Model for the Sclera Segmentation Benchmarking Competition 2020

  Language:Python2

• Varsha-Swaminathan/Design-and-Development-of-Sclera-based-biometric-system

  Performed pre processing, segmentation, feature extraction, feature evaluation and classification using various Machine learning models. Worked on numpy arrays of images and its extracted features for image classification

  Language:Jupyter Notebook20

• amreenhasheem/uveitis_coii

  Language:Jupyter Notebook1

• BinuraRanasingha/MLOM-Practicals

  Language:Jupyter Notebook10

• Dulyaaa/Fuel_Queue_Management_System

  ⛽ Enterprise Mobile Application - This is a group project for year 4 semester 2 - Enterprise Application Development (EAD) module, where we have built a Fuel Queue Management System.

  Language:Java1100

• Shiul93/Hyperemia-Analyzer

  Categorization of redness level on sclera images

  Language:Python1201