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: http://github.com/confident-ai/deepeval
📕 Colab: https://colab.research.google.com/drive/1PPxYEBa6eu__LquGoFFJZkhYgWVYE6kh?usp=sharing
🔗 Project: https://deepeval.com
@Machine_learn
🖥 Github: http://github.com/confident-ai/deepeval
📕 Colab: https://colab.research.google.com/drive/1PPxYEBa6eu__LquGoFFJZkhYgWVYE6kh?usp=sharing
🔗 Project: https://deepeval.com
@Machine_learn
❤1
🔹 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:
No spaces found
==================================
@Machine_learn
🔹 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:
No spaces found
==================================
@Machine_learn
❤1
🔹 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
==================================
@Machine_learn
🔹 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
==================================
@Machine_learn
❤1
Forwarded from Papers
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
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
❤1
Machine learning books and papers pinned «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$(❌) 2: 500$✅…»
🔹 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
🔹 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
Papers
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$(❌) 2: 500$✅…
دوستانی که نیاز به این مقاله دارن جایگاه ۲، ۳، ۴ خالی می باشد...!
@Raminmousa
@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
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
GitHub
GitHub - AntonOsika/gpt-engineer: CLI platform to experiment with codegen. Precursor to: https://lovable.dev
CLI platform to experiment with codegen. Precursor to: https://lovable.dev - AntonOsika/gpt-engineer
❤1
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
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
❤3
