Sami Tuğal
samitugal
Software Engineer at Logo | R&D
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Your personal productivity companion
AI-powered system generating knowledge graphs from text and answering questions.
Open-source catalog of reusable AI agent templates.
This repository provides a collection of custom plugins for Microsoft Semantic Kernel, aiming to simplify development, enhance productivity, and enable seamless integration of diverse tools into AI-driven workflows.
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Repositories
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AI-powered system generating knowledge graphs from text and answering questions.
Your personal productivity companion
Open-source catalog of reusable AI agent templates.
This repository provides a collection of custom plugins for Microsoft Semantic Kernel, aiming to simplify development, enhance productivity, and enable seamless integration of diverse tools into AI-driven workflows.
Stateful, diff-aware blog monitoring system designed as an MCP server for LLM agents.
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Integrate cutting-edge LLM technology quickly and easily into your apps
computer science dünyasındaki keyifli makaleleri, yazıları ve bazen absürt bulduğumuz okumaları bir araya getiriyoruz. topluluk üyeleri tarafından önerilen ve kategorize edilen makaleler, github’da arşivlenir; tartışmalar ise twitter community’de gerçekleşir.
NL2SQL-Converter transforms natural language sentences from any language into SQL queries, simplifying database interactions. It offers seamless and intuitive query generation for users of all SQL proficiency levels.
The most reliable AI agent framework that supports MCP.
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This repository contains a ChatBot application designed to assist with warehouse management tasks. Leveraging advanced LLM models like OpenAI and Amazon LLM, combined with PostgreSQL and Pinecone for data handling, this project aims to streamline and enhance warehouse operations.
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Ege University 2.Grade 2.Term Project
Visualize and Predictions of MNIST Data set with CNN. If you wanna see how the code works checkout result-mnist-cnn.pdf.
An algorithm that can detect positive or negative comments by applying deep learning algorithms to the comments on IMDB. If you wanna see how the code works checkout imdb-results.pdf.
Can real and fake news be separated with python code? To try this, I wrote a python code that applies a deep learning algorithm to different news. If you wanna see how the code works checkout project-results.pdf.
I tested the most used classification algorithms worldwide on the IRIS dataset and compared the success results of the algorithms. If you wanna see how the code works checkout Comparison Results.pdf.
Ege University 2nd Year 1st Term 1st Project
Ege University 2nd Year 1st Term 2nd Project
Ege University 2nd Year 1st Term 3rd Project