23171
Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn
📹 AI in Bioinformatics Overcoming Pitfalls in Statistical, ML and Generative AI Approaches
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@Machine_learn
🔹 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
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
با عرض سلام دوستاني كه مايل به اين پروژه هستن مي تونن بهمون ملحق بشن
@Raminmousa
5-phase path every ML systems engineer follows but almost no one talks about.
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@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
دوستانی که نیاز به این مقاله دارن جایگاه ۲، ۳، ۴ خالی می باشد...!
@Raminmousa
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
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@Machine_learn
https://www.preprints.org/frontend/manuscript/60e3049f08b3dd051d86c9f72e9e9778/download_pub
Evaluation Metrics in Learning Systems: A Survey
@Raminmousa
@Machine_learn
🔹 Title: UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning
🔹 Publication Date: Published on Aug 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.18756
• PDF: https://arxiv.org/pdf/2508.18756
• Github: https://github.com/ZihaoHuang-notabot/Ultra-Sparse-Memory-Network
@Machine_learn
نفر ۷ از این مقاله پر شد...!
Читать полностью…
State of AI-assisted Software Development
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@Machine_learn
The Smol Training Playbook:
The Secrets to Building World-Class LLMs
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@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
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
🔹 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
🔹 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:
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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:
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==================================
@Machine_learn