https://www.preprints.org/frontend/manuscript/60e3049f08b3dd051d86c9f72e9e9778/download_pub


Evaluation Metrics in Learning Systems: A Survey
@Raminmousa

@Machine_learn

🔹 Title: Limitations of Normalization in Attention Mechanism

🔹 Publication Date: Published on Aug 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.17821
• PDF: https://arxiv.org/pdf/2508.17821

🔹 Datasets citing this paper:
No datasets found

@Machine_learn

How to Implement Delays Using Python WAIT Function

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@Machine_learn

State of AI-assisted Software Development

📕 Report

@Machine_learn

droidrun

DroidRun is a powerful framework for controlling Android and iOS devices through LLM agents. It allows you to automate device interactions using natural language commands. 

Creator:   droidrun
Stars ⭐️:  4,300
Forked by:  430

Github Repo:
https://github.com/droidrun/droidrun
 
@Machine_learn

OSINT Tools and Resources Handbook

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@Machine_learn

Python library that adds Generative AI capabilities to Pandas!

PandasAI analyzes complex data frames and plot visualizations just by using natural language.

GitHub: https://github.com/sinaptik-ai/pandas-ai

@Machine_learn

با عرض سلام
پروژه جدیدمون که نیاز به نفرات ۱، ۴ و پنج هستیم.
ژورنال هدف AI اسپرینگر می باشد.


Price:

1: 400$
4: 200$
5: 150 $

@Raminmousa

🔹 Title: Limitations of Normalization in Attention Mechanism

🔹 Publication Date: Published on Aug 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.17821
• PDF: https://arxiv.org/pdf/2508.17821

@Machine_learn

🔹 Title: MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs

🔹 Publication Date: Published on Aug 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.18264
• PDF: https://arxiv.org/pdf/2508.18264
• Project Page: https://project.ironieser.cc/mmtok

@Machine_learn

InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofing

🖥 Github: https://github.com/kunkunlin1221/InstructFLIP

📕 Paper: https://arxiv.org/pdf/2507.12060v1.pdf

🔗 Dataset: https://paperswithcode.com/dataset/replay-attack

@Machine_learn

The LLM Evaluation Framework

🖥 Github: http://github.com/confident-ai/deepeval

📕 Colab: https://colab.research.google.com/drive/1PPxYEBa6eu__LquGoFFJZkhYgWVYE6kh?usp=sharing

🔗 Project: https://deepeval.com

@Machine_learn

🔹 Title: Hermes 4 Technical Report

🔹 Publication Date: Published on Aug 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.18255
• PDF: https://arxiv.org/pdf/2508.18255
• Project Page: https://hermes4.nousresearch.com/

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

@Machine_learn

🔹 Title: Understanding Tool-Integrated Reasoning

🔹 Publication Date: Published on Aug 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.19201
• PDF: https://arxiv.org/pdf/2508.19201
• Project Page: https://zhongwenxu.notion.site/Understanding-Tool-Integrated-Reasoning-2551c4e140e3805489fadcc802a1ea83

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

@Machine_learn

با عرض سلام مي خواهيم مقاله اي زیر را ادامه بدیم.

Recurrent Neural Network Basic defiences

نيازمند ٤ نفر هستيم كه بتونن در نگارش و كارها و هزينه كار كمكمون كنند. هزينه نفرات براي اين كار كه ١٨ بنچ مارك باید اجرا بشه. از قرار زير:

1: 700$(❌)
2: 500$✅
3: 400$✅
4: 350$ ✅
دوستاني كه مايل هستن مي تونن به ايدي بنده پيام بدن.

همچنين كدهاي كار، توضيحات و ... در اختيار دوستان قرار ميگيره.
@Raminmousa
@Machine_learn
@Paper4money