با عرض سلام
براي نفر چهارم مقاله ي مروري در حوزه ي پاتولوژي سرطان نيازمند مشاركت هستيم.
هزينه مشاركت : 220 تتر
مجله ي ارسالي : Nature
⚠️⚠️⚠️
امشب سابمیت مقاله می باشد.
⚠️⚠️⚠️
@Raminmousa
@Machine_learn
@Paper4money
براي نفر چهارم مقاله ي مروري در حوزه ي پاتولوژي سرطان نيازمند مشاركت هستيم.
هزينه مشاركت : 220 تتر
مجله ي ارسالي : Nature
⚠️⚠️⚠️
امشب سابمیت مقاله می باشد.
⚠️⚠️⚠️
@Raminmousa
@Machine_learn
@Paper4money
Machine learning books and papers pinned «با عرض سلام براي نفر چهارم مقاله ي مروري در حوزه ي پاتولوژي سرطان نيازمند مشاركت هستيم. هزينه مشاركت : 220 تتر مجله ي ارسالي : Nature ⚠️⚠️⚠️ امشب سابمیت مقاله می باشد. ⚠️⚠️⚠️ @Raminmousa @Machine_learn @Paper4money»
🔹 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
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
👍1