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…»
Machine learning books and papers
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…
فرصت محدود برای این پروژه ها ...!
📄Advancing biomolecular simulation through exascale HPC, AI and quantum computing
📎 Study the paper
@Machine_learn
📎 Study the paper
@Machine_learn
❤1
Machine learning books and papers
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…
تيم دوم :
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 و توي نگارش مقاله كمكمون كنه.
@Raminmousa
@Machine_learn
https://t.iss.one/+SP9l58Ta_zZmYmY0
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 و توي نگارش مقاله كمكمون كنه.
@Raminmousa
@Machine_learn
https://t.iss.one/+SP9l58Ta_zZmYmY0
Telegram
Papers
در اين كانال قرار مقالاتي كه كار ميكنيم رو به اشتراك بزاريم.
@Raminmousa
@Raminmousa
❤1
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
🌟 Dataset: https://paperswithcode.com/dataset/lima
Please open Telegram to view this post
VIEW IN TELEGRAM
❤3
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
🌟 Dataset: https://huggingface.co/datasets/showlab/ShowUI-desktop-8K
@Machine_learn
Please open Telegram to view this post
VIEW IN TELEGRAM
❤1
⚡️ 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
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
❤2
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://t.iss.one/+SP9l58Ta_zZmYmY0
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://t.iss.one/+SP9l58Ta_zZmYmY0
Telegram
Papers
در اين كانال قرار مقالاتي كه كار ميكنيم رو به اشتراك بزاريم.
@Raminmousa
@Raminmousa
❤1
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://t.iss.one/+SP9l58Ta_zZmYmY0»
📃Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospects
📎 Study the paper
@Machine_learn
📎 Study the paper
@Machine_learn
❤3👍2