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: https://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:
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@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
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@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: OmniHuman-1.5: Instilling an Active Mind in Avatars via Cognitive Simulation

🔹 Publication Date: Published on Aug 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.19209
• PDF: https://arxiv.org/pdf/2508.19209
• Project Page: https://omnihuman-lab.github.io/v1_5/

@Machine_learn

دوستانی که نیاز به این مقاله دارن جایگاه ۲، ۳، ۴ خالی می باشد...!
@Raminmousa

gpt-engineer

gpt-engineer is a project in which you specify what you want in plain English and it iterates to produce a working codebase or scaffolded app. It’s an excellent playground for anyone exploring code-generation agents. And the repo contains clear install/usage instructions and a low-friction dev loop.

Creator:   AntonOsika
Stars ⭐️:  55,000
Forked by:  7,300

Github Repo:
https://github.com/AntonOsika/gpt-engineer

@Machine_learn

A combined UNet++ and LSTM approach for breast ultrasound image segmentation

Author: @Raminmousa
Doi:https://kwnsfk27.r.eu-west-1.awstrack.me/L0/https:%2F%2Fdoi.org%2F10.1016%2Fj.fraope.2025.100385/1/0102019a29ac6163-f3d94222-1d67-4a4b-8bb0-22ed875a5711-000000/VLVCKG-PEYhELOu00YPCeqOuaaA=449
Link:https://www.sciencedirect.com/science/article/pii/S2773186325001732?ref=pdf_download&fr=RR-8&rr=9958aaca19dd11fc

@Machine_learn

با عرض سلام در حال تنظیم مقاله ای تحت عنوان
Title: MediSeg: Medical Segmentation and classification Recommender system ....
Journal: IEEE Transactions on Medical Imaging
If: 9.8
این کار ۶ ماه طول خواهد کشید و به مسائل بهینه سازی انرژی، جلوگیری از اموزش مجدد شبکه ها، و مسائل تولید کربن در شبکه ها ی عصبی پرداخته خواهد شد.
هزینه مشارکت :

2: 600$
3:500 $
4: 400$
5:300$
6: 200$
7:200$

@Raminmousa
@Machine_learn
@Paper4money

5-phase path every ML systems engineer follows but almost no one talks about.

📚 Read


@Machine_learn

The Smol Training Playbook:
The Secrets to Building World-Class LLMs

📚 Read

@Machine_learn

با عرض سلام دوستاني كه مايل به اين پروژه هستن مي تونن بهمون ملحق بشن
@Raminmousa

State of AI-assisted Software Development

📕 Report

@Machine_learn