Anıl Kuş's repositories
chatbot-using-the-GPT-3
Here is an example of a chatbot using the GPT-3 language model in Python. In this example, the user asks a question aloud and the chatbot answers aloud.
Simultaneous-Multi-Task-Learning
A multi-task deep learning model that solves multiple tasks concurrently. Specifically, the model is designed to be effective in multiple contexts (e.g., classification, segmentation, regression) simultaneously.
ToRos_Dil_Isleme-Teknofest2024
Acıkhack2024TDDİ
TurkishMedicalPaperDataset
Turkish Medical Papers for NLP applications.
TurkishNLP_Summarization
Turkish NLP aims to comprehend, analyze, and generate meaningful insights from Turkish texts using computational and linguistic techniques.
estimating-the-future-values-of-cryptocurrencies
In this study, the process of estimating the future values of cryptocurrencies was carried out by pulling the values of instant cryptocurrencies from the internet in Python language.
Hayalimdeki-Otomobil-My-Dream-Car
AutoHack/Smartlab-Toros
Image-segmentation-using-Deep-Learning
Image segmentation using A convolutional neural network (CNN) model is defined using the Sequential API from TensorFlow.
pyECLAT
A package for association analysis using the ECLAT method.
TextOkumaveYazma
Python ile txt dosyasındaki metinleri okuma ve txt dosyası üzerine metin ekleme işlemi /Reading text in txt file and adding text on txt file Using Python
TextSummarizationUsingTF
Text summarization using only term frequency (TF) is a simple and basic approach that relies on counting the occurrences of each word in a document (input text) and using those counts to create a summary. The TF method does not consider the context or semantics of the words; it only considers their frequency of occurrence in the document.
TurkceniKoru-PreservingtheTurkishLanguage
PreservingTheTurkishLanguage
Whatsappmsg
This program first asks you which message you want to send. After saying your message aloud, it sends a message via whatsapp to the number you specified before.