GulayAdgzl's Stars
mendess12/E-commerce-App
birlikteihracat/freelancerin-finansal-yol-haritasi
Upwork ve Fiverr üzerinden ihracat yapan Freelancer'in şirketleşme, teşvikler, parasını en uygun şekilde ülkemize getirme gibi konularda sorularına cevap bulabileceği bir yol haritası.
android/compose-samples
Official Jetpack Compose samples.
kulloveth/WellnessCity
An app to help user stay healthy, get Health and Diet tips/advice and Covid 19 Regular Reminder to stay safe
serkanalc/Android-Kotlin-Fundamentals
Bu repositorie Google'ın tamamıyla ücretsiz olarak sunduğu Android Kotlin Fundamentals dokümantasyonunun Türkçeye çevrilmiş halidir.
enginebai/MovieHunt
Movie Android App written in Kotlin, MVVM, RxJava, Jetpack Compose (implementing), Android Architecture Components and Coroutine (Upcoming).
mrsegev/MovieNight
MovieNight is a sample Android application that uses the clean architecture approach and is written in Kotlin.
tolgaprm/Mova-MovieApp
"A movie and TV show information app for teaching MVVM, Paging3, Flow-Coroutines with Clean Architecture. With this app, you can easily find information about your favorite films and TV series. You can view the cast, plot summary, release date, and more. "
asgeri85/moviesAppAndroid
ertugrulkaragoz/SuperForwardView
A lightweight android library that allows to you create custom fast forward/rewind animations like on Netflix.
vanniktech/Emoji
A library to add Emoji support to your Android / iOS / JVM Application
bernaferrari/EmojiSlider
🤯 A slider widget rich in emoji and highly customisable.
VB10/flutter-architecture-template
Flutter Architecture Complete App
VB10/kartal
extension library for helping while coding application for dart & flutter
flutter/website
Flutter documentation web site
VB10/Dart-Language-Full-Course
This repository created to learn deeply dart language with examples
VB10/flutter-ready-to-use-widgets
Kullanmaya hazir widget cozumleri -Ready to use widget solutions
flutter/samples
A collection of Flutter examples and demos
VB10/Flutter-Full-Learn
End to end flutter series for zero to hero flutter devloper.( lang of videos is turkish)
a-yushpande-y/DWT-SVD-Watermarking
Python code for inserting a watermark in the host image using Discrete Wavelet Transform and Singular Value Decomposition
h2researchgroup/classification
This code takes in JSTOR OCR raw text and expert-generated dictionaries, creates predictive models based on hand-coded training data (per perspective), uses these to predict remaining doc labels, and visualizes overall trends.
javedsha/text-classification
Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK
konradhalas/dacite
Simple creation of data classes from dictionaries.
jayknoxqu/data-dictionary
Generate MySQL Data Dictionary (生成MySQL数据字典)
Halilozler/Sistem-Programlama-Notlari
Sistem Programlama dersi kapsamında işlenmiş konulara bakılarak kendim tarafımdan oluşturulmuş notlar.
huseyinbabal/awesome-spring-jpa
tigranv/Useful_Examples_C-Sharp
In this repository, I gathered a lot of useful examples of code and their description that I create while studying programming. Here you can find examples on the use of the Inheritance, Encapsulation, Abstraction, Interfacies, Polymorphism, Indexers, Operators Overloading, Extention Methods, System IO , Exception Handling, Delegates, Events, IDisposable, IClonable, GC, IEnumerable, IEnumerator Interfaces, Yield, Generic Programming,
livecodingturkey/manifesto
Manifesto for any kind of OSS contribution
shhubhxm/Skin-Disease-Detection-Team-Technophile
We are team technophiles and participated in 48hrs hackathon organized by Nirma University in collabration with Binghamton University. Our Problem Definition : To develop a solution, the first step is to understand the problem. The problem here is to develop an Application Programming Interface which can be easily integrated with Android and IOS to detect the skin disease without any physical interaction with a Dermatologist. The detected skin disease should be sent through whatsapp to a particular patient and doctor. Our college name: Pandit Deendayal Energy University Team Members: Rushabh Thakkar, Divy Patel, Denish Kalariya, Yug Thakkar, and Shubham Vyas. Project Details: We made an application which classifies the skin diseases into these given types healthy, lupus, ringworm and scalp_infections How did we make? The data given was analysed first. We came to conclusion that the data given was not enough so we searched for new datasets. We got these datasets: https://ieee-dataport.org/documents/image-dataset-various-skin-conditions-and-rashes https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DBW86T We segregated the datasets of harvard. Combined all the datasets and trained the tensorflow image classification model multiple times. Accuracy was not satisfying. Augmented the data to unbaised the model and the dataset would be balanced. Data Augmentation was done on the data given . We generated 800 images per disease. Again we had trained the model. Accuracy was good. Exported the .tflite and label.txt file. We imported the files into android studio We have used three python codes: data_removal.py This code is used to remove data randomly from the folder if there are more number of images than required. We just need to change total_files_req variable in the code to number of files required after deletion. data_augmentation.py This code is used to augment the data randomly from the folder if there are less number of images than required. We just need to change total_files_req variable in the code to number of files required after augmentation. We change various parameters of images like clearity, rotation, brightness, etc. image_classification_code.py This is the main code in which we have trained the model and exported it to run on the app Models we tried: efficientnet-lite0(USED in our project) efficientnet-lite1 efficientnet-lite2 efficientnet-lite3 efficientnet-lite4 API: TensorFlowLite Used Android studio for App development . Used Language = java We sync all the grade files. Changed the model files and update it with the new model Working model file name is model.tflite Tflite classifier working java files are CameraActivity.java CamerConnectionFragment.java ClasssifierActivity.java LegacyCameraConnectionFreagment.java Dataset: Uploaded on Github WORKING MODEL LINK: https://drive.google.com/file/d/1BnqfFInFkJJDkYDlmdj9VB601f7PjTdj/view?usp=sharing
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code