📖 LLM-Agent-Paper-List is a repository of papers on the topic of agents based on large language models (LLM)! The papers are divided into categories such as LLM agent architectures, autonomous LLM agents, reinforcement learning (RL), natural language processing methods, multimodal approaches and tools for developing LLM agents, and more.

🖥 Github

https://www.tg-me.com/deep_learning_proj

👩‍💻 Python Notes for Professionals book

🔗 Book

@Machine_learn

الحمدالله تو اين بازه ٣ ماه تونستيم مقالات مشاركتي رو تحت وظايف زير انجام بديم:
🔹ثبت ٤ مقاله در حوزه Multi-modal wond classification

🔹ارائه ی دو مقاله در حوزه ی breast cancer segmentation

🔹 ارائه ی سه مقاله در حوزه ی cancer detection
که ۸۰٪ مراحل این مقالات هم تموم شده.

به زودی پس از اتمام این مقالات لیستی از مقالات مشارکتی رو خواهیم داشت .

https://www.tg-me.com/+SP9l58Ta_zZmYmY0

This repository contains a collection of resources in the form of eBooks related to Data Science, Machine Learning, and similar topics.

📖 book

💠@Machine_learn

با عرض سلام مقاله زیر در مرحله ی اولیه ارسال می باشد. نفرات 2و ۳ خالی می باشد. دوستانی که نیاز دارند می تونن به ایدی بنده پیام بدن. همچنین امکان ریکام‌دادن بعد اتمام کار وجود داره.
💠💠
Title:
Automated Concrete Crack Detection and Geometry Measurement Using YOLOv8
Description:
This paper presents a comprehensive approach for automatic detection and quantification of concrete cracks using the YOLOv8 deep learning model. By leveraging advanced object detection capabilities, our system identifies concrete cracks in real-time with high accuracy, addressing challenges of complex backgrounds and varying crack patterns. Following crack detection, we employ image processing techniques to measure key geometric parameters such as width, length, and area. This integrated system enables rapid, precise analysis of structural integrity, offering a scalable solution for infrastructure monitoring and maintenance.

🔸Target Journal:
Nature, Scientific Reports

@Raminmousa
@Machine_learn
https://www.tg-me.com/+SP9l58Ta_zZmYmY0