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ليست پروژه هاي جديد كه دوستان مي تونن به تيم هاي ما اضافه بشن.

تيم اول:
Survey on whole slide image

target journal: https://www.nature.com/srep/
نفرات ٤ و ٥ رو كم داريم

تيم دوم :
fmri alzheimer's disease classification
target journal:https://www.sciencedirect.com/journal/computerized-medical-imaging-and-graphics

نفر ٣ رو كم داريم.
@Raminmousa
@Machine_learn
https://www.tg-me.com/+SP9l58Ta_zZmYmY0
Machine learning books and papers pinned «ليست پروژه هاي جديد كه دوستان مي تونن به تيم هاي ما اضافه بشن. تيم اول: Survey on whole slide image target journal: https://www.nature.com/srep/ نفرات ٤ و ٥ رو كم داريم تيم دوم : fmri alzheimer's disease classification target journal:https://www.sc…»
Pattern recognition and machine learning

📖 Link

@Machine_learn
Primers • Overview of Large Language Models

📖 Link

@Machine_learn
C O M P U T E R V I S I O N : F O U N D AT I O N S A N D A P P L I C AT I O N S

🖥 book

@Machine_learn
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📄Advancing biomolecular simulation through exascale HPC, AI and quantum computing


📎 Study the paper

@Machine_learn
📑 A review of transformers in drug discovery and beyond


📎 Study the paper



🔺@Machine_learn
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👩‍💻 Julia Programming Language for Biologists





📎 Study the paper


@Machine_learn
O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?

🖥 Github: https://github.com/gair-nlp/o1-journey

📕 Paper: https://arxiv.org/abs/2411.16489v1

🌟 Dataset: https://paperswithcode.com/dataset/lima

💠@Machine_learn
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📖 Penn State University's "Graph Theory"


📌 Lectures

@Machine_learn
ShowUI is a lightweight vision-language-action model for GUI agents.

🖥 Github: https://github.com/showlab/showui

📕 Paper: https://arxiv.org/abs/2411.17465v1

🌟 Dataset: https://huggingface.co/datasets/showlab/ShowUI-desktop-8K

@Machine_learn
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📖 General Relativity

📌 Book

@Machine_learn
⚡️ Biggest open text dataset release of the year: SmolTalk is a 1M sample big synthetic dataset that was used to train SmolLM v2.

TL;DR;
🧩 New datasets: Smol-Magpie-Ultra (400K) for instruction tuning; Smol-contraints (36K) for precise output; Smol-rewrite (50K) & Smol-summarize (100K) for rewriting and summarization.
🤝 Public Dataset Integrations: OpenHermes2.5 (100K), MetaMathQA & NuminaMath-CoT, Self-Oss-Starcoder2-Instruct, LongAlign & SystemChats2.0
🥇 Outperforms the new Orca-AgenInstruct 1M when trained with 1.7B and 7B models
🏆 Outperform models trained on OpenHermes and Magpie Pro on IFEval and MT-Bench
distilabel to generate all new synthetic datasets
🤗 Released under Apache 2.0 on huggingface

Apache 2.0

Synthetic generation pipelines and training code released.

Dataset: https://huggingface.co/datasets/HuggingFaceTB/smoltalk
Generation Code: https://github.com/huggingface/smollm
Training Code: https://github.com/huggingface/alignment-handbook/tree/main/recipes/smollm2

@Machine_learn
Machine learning books and papers pinned «fmri alzheimer's disease classification target journal:https://www.sciencedirect.com/journal/computerized-medical-imaging-and-graphics نفر ٣ رو كم داريم. نيازمند كسي هستيم كه بتونه هزينه سرور رو پرداخت كنه . @Raminmousa @Machine_learn https://www.tg-me.com/+SP9l58Ta_zZmYmY0»
Gaussian Processes for Machine Learning

📚 link

@Machine_learn
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2025/02/23 05:25:46
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