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Admin: @Raminmousa ID: @Machine_learn link: https://t.me/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
🔹 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:
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==================================
@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
🔹 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
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
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
How to Implement Delays Using Python WAIT Function
📚 Read
@Machine_learn
https://www.preprints.org/frontend/manuscript/60e3049f08b3dd051d86c9f72e9e9778/download_pub
Evaluation Metrics in Learning Systems: A Survey
@Raminmousa
@Machine_learn
📑 Deep graph anomaly detection: A survey and new perspectives
📎 Study paper
@Machine_learn
This GitHub repo is a gold mine for EVERY data scientist!
Fully open-source and free!
https://github.com/GeostatsGuy/DataScienceInteractivePython
@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
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
All of Statistics A Concise Course in Statistical Inference
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@Machine_learn
امشب اخرین فرصت سابمیت این مقاله می باشد...!
Читать полностью…
TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction
TLDR: Prediction of the brain response based on the audio and visual content input.
ArXiV: https://www.arxiv.org/pdf/2507.22229
@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:
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==================================
@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: 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
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
OSINT Tools and Resources Handbook
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@Machine_learn
State of AI-assisted Software Development
📕 Report
@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
🔹 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
ScaleCUA: Master GUIs across 6 OS with our new open-source agent!
📕 Read
@Machine_learn
DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
📕 Read
@Machine_learn
🔹 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
Writing effective tools for agents — with agents
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@Machine_learn
The Hitchhiker’s Guide to Python!
📚 Read
@Machine_learn
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
@Raminmousa
@Machine_learn
@Paper4money
🔹 Title: MV-RAG: Retrieval Augmented Multiview Diffusion
🔹 Publication Date: Published on Aug 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.16577
• PDF: https://arxiv.org/pdf/2508.16577
• Project Page: https://yosefdayani.github.io/MV-RAG/
• Github: https://github.com/yosefdayani/MV-RAG
@Machine_learn