🔹 Title: MEENA (PersianMMMU): Multimodal-Multilingual Educational Exams for N-level Assessment
🔹 Publication Date: Published on Aug 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.17290
• PDF: https://arxiv.org/pdf/2508.17290
@Machine_learn
  🔹 Publication Date: Published on Aug 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.17290
• PDF: https://arxiv.org/pdf/2508.17290
@Machine_learn
🔹 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
@Machine_learn
  🔹 Publication Date: Published on Aug 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.17973
• PDF: https://arxiv.org/pdf/2508.17973
@Machine_learn
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  This GitHub repo is a gold mine for EVERY data scientist!
Fully open-source and free!
https://github.com/GeostatsGuy/DataScienceInteractivePython
@Machine_learn
Fully open-source and free!
https://github.com/GeostatsGuy/DataScienceInteractivePython
@Machine_learn
❤2👍2
  🔹 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:
No spaces found
==================================
@Machine_learn
🔹 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:
No spaces found
==================================
@Machine_learn
❤2
  https://www.preprints.org/frontend/manuscript/60e3049f08b3dd051d86c9f72e9e9778/download_pub
Evaluation Metrics in Learning Systems: A Survey
@Raminmousa
@Machine_learn
  
  
  
  
  
  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
🔹 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
❤1
  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
  
  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
GitHub
  
  GitHub - droidrun/droidrun
  Contribute to droidrun/droidrun development by creating an account on GitHub.
1❤2
  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
PandasAI analyzes complex data frames and plot visualizations just by using natural language.
GitHub: https://github.com/sinaptik-ai/pandas-ai
@Machine_learn
👍3
  Forwarded from Papers
  
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
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
❤2
  🔹 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
🔹 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
❤3
  🔹 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
🔹 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
❤4
  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
🖥 Github: https://github.com/kunkunlin1221/InstructFLIP
📕 Paper: https://arxiv.org/pdf/2507.12060v1.pdf
🔗 Dataset: https://paperswithcode.com/dataset/replay-attack
@Machine_learn
❤1
  The LLM Evaluation Framework
🖥 Github: https://github.com/confident-ai/deepeval
📕 Colab: https://colab.research.google.com/drive/1PPxYEBa6eu__LquGoFFJZkhYgWVYE6kh?usp=sharing
🔗 Project: https://deepeval.com
@Machine_learn
🖥 Github: https://github.com/confident-ai/deepeval
📕 Colab: https://colab.research.google.com/drive/1PPxYEBa6eu__LquGoFFJZkhYgWVYE6kh?usp=sharing
🔗 Project: https://deepeval.com
@Machine_learn
❤1