This GitHub repo is a gold mine for EVERY data scientist!



Fully open-source and free!
https://github.com/GeostatsGuy/DataScienceInteractivePython

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ScaleCUA: Master GUIs across 6 OS with our new open-source agent!

📕 Read

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📑 Deep graph anomaly detection: A survey and new perspectives


📎 Study paper

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🔹 Title: German4All - A Dataset and Model for Readability-Controlled Paraphrasing in German

🔹 Publication Date: Published on Aug 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.17973
• PDF: https://arxiv.org/pdf/2508.17973

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
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https://www.preprints.org/frontend/manuscript/60e3049f08b3dd051d86c9f72e9e9778/download_pub


Evaluation Metrics in Learning Systems: A Survey
@Raminmousa

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🔹 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

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How to Implement Delays Using Python WAIT Function

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State of AI-assisted Software Development

📕 Report

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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
 
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OSINT Tools and Resources Handbook

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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

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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

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