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Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
24 Apr 2025 · Minju Seo, Jinheon Baek, Seongyun Lee, Sung Ju Hwang ·
Paper: https://arxiv.org/pdf/2504.17192v2.pdf
Code: https://github.com/going-doer/paper2code
@Machine_learn
🎓Advanced Applications of Machine Learning in Bioinformatics
🗓Publish year: 2025
📎 Study thesis
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The 2025 AI Index Report
📚 Read
@Machine_learn
Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
🖥 Github: https://github.com/reml-group/deliberation-on-priors
📕 Paper: https://arxiv.org/abs/2505.15210v1
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Probability Cheatsheet
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DeepSeek-Coder
DeepSeek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on project-level code corpus by employing a window size of 16K and an extra fill-in-the-blank task, to support project-level code completion and infilling. For coding capabilities, DeepSeek Coder achieves state-of-the-art performance among open-source code models on multiple programming languages and various benchmarks.
Creator: Deepseek-AI
Stars ⭐️: 15.6k
Forked by: 1.5k
Github Repo:
https://github.com/deepseek-ai/DeepSeek-Coder
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Brownian Motion
📚 Book
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A New Efficient Hybrid Technique for Human Action Recognition Using 2D Conv-RBM and LSTM with Optimized Frame Selection
📕 Paper: https://www.mdpi.com/2227-7080/13/2/53
🔥 Datasets:
KTH: https://www.csc.kth.se/cvap/actions/
UCF Sports: https://www.crcv.ucf.edu/research/data-sets/ucf-sports-action/
HMDB51: https://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/
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Introducing Continuous Thought Machines
📚 Paper
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با عرض سلام
از اين مقاله نفرات ٤ و ٥ باقي مونده دوستاني كه مايل به همكاري هستن لطفا با بنده در ارتباط باشن.
یکی از ابزارهای خوبی که بنده تونستم توسعه بدم ابزار Stock Ai می باشد. در این ابزار از ۳۶۰ اندیکاتور استفاده کردم. گزارشات back test این ابزار در ویدیو های زیر موجود می باشد.
May 2024 :
https://youtu.be/aSS99lynMFQ?si=QSk8VVKhLqO_2Qi3
July 2014:
https://youtu.be/ThyZ0mZwsGk?si=FKPK7Hkz-mRx-752&t=209
@Raminmousa
Data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
Creator: DataExpert-io
Stars ⭐️: 24.9k
Forked by: 4.9k
Github Repo:
https://github.com/DataExpert-io/data-engineer-handbook
#github
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
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Introduction to Machine Learning
Laurent Younes
📚 Book
@Machine_learn
CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models
28 Mar 2025 · Zhihang Lin, Mingbao Lin, Yuan Xie, Rongrong Ji
Paper: https://arxiv.org/pdf/2503.22342v1.pdf
Code: https://github.com/lzhxmu/cppo
Datasets: GSM8K - MATH
@Machine_learn
4 advanced attention mechanisms you should know:
• Slim attention — 8× less memory, 5× faster generation by storing only K from KV pairs and recomputing V.
• XAttention — 13.5× speedup on long sequences via "looking" at the sum of values along diagonal lines in the attention matrix.
• Kolmogorov-Arnold Attention, KArAt — Adaptable attention with learnable activation functions using KANs instead of softmax.
• Multi-token attention (MTA) — Lets the model consider groups of nearby words together for smarter long-context handling.
Read the overview of them in our free article on https://huggingface.co/blog/Kseniase/attentions
@Machine_learn
هدف اين كانال حل مشكل سايت زني به مقالات. از طرفي كساني كه نيازمند هزينه سايت هستن نيز مي تونن با سايت زدن به هر مقاله ي اين كانال بخشي از هزينه رو دريافت كنن.
/channel/papercite
فقط نفر سوم از این مقاله باقی مونده....!
Читать полностью…
با عرض سلام دوستانی که مقاله در حوزه پزشکی نیاز داشتن.
Comparative analysis on transfer learning model and optimizer for multimodal wound image classification
نفرات ۳ و ۴ قابل اضافه شدن می باشند.
3: 400$
4: 300$
زمان تقریبی سابمیت ۵ روز دیگر.
Jouranl: Scientific Report
@Raminmousa
@Machine_learn
@Paper4money
Reinforcement Learning: An Overview
📚 Book
@Machine_learn
با عرض سلام دوستانی که مقاله در حوزه پزشکی نیاز داشتن.
Comparative analysis on transfer learning model and optimizer for multimodal wound image classification
نفرات ۳ و ۴ قابل اضافه شدن می باشند.
3: 400$
4: 300$
زمان تقریبی سابمیت ۵ روز دیگر.
Jouranl: Scientific Report
@Raminmousa
@Machine_learn
@Paper4money
Full PyTorch Implementation of
Compressive Transformer
📚 Link
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Exercises in Machine Learning
Download, read, and practice:
arxiv.org/pdf/2206.13446
GitHub Repo: https://github.com/michaelgutmann/ml-pen-and-paper-exercises
@Machine_learn
Comprehensive Analysis of Random Forest and XGBoost Performance with SMOTE, ADASYN, and GNUS Under Varying Imbalance Levels.
📕 Paper: https://www.mdpi.com/2227-7080/13/3/88
🔥 Dataset: https://www.kaggle.com/code/rinichristy/customer-churn-prediction-2020
@Machine_learn
NVIDIA just open sourced Open Code Reasoning models - 32B, 14B AND 7B - APACHE 2.0 licensed 🔥
> Beats O3 mini & O1 (low) on LiveCodeBench 😍
Backed by OCR dataset the models are 30% token efficient than other equivalent Reasoning models
Works with llama.cpp, vLLM, transformers, TGI and more - check them out today!!
https://huggingface.co/nvidia/OpenCodeReasoning-Nemotron-32B
@Machine_learn
Llama-Nemotron: Efficient Reasoning Models
📚 Paper
@Machine_learn
⛽ VoRA: Vision as LoRA ⛽
#ByteDance introduces #VoRA (Vision as #LoRA) — a novel framework that transforms #LLMs into Multimodal Large Language Models (MLLMs) by integrating vision-specific LoRA layers.
All training data, source code, and model weights are openly available!
Key Resources:
Overview: https://t.ly/guNVN
Paper: arxiv.org/pdf/2503.20680
GitHub Repo: github.com/Hon-Wong/VoRA
Project Page: georgeluimmortal.github.io/vora-homepage.github.io
@Machine_learn
با عرض سلام دوره ی خصوصی SYFA را داریم برگذار میکنیم که هدف نحوه اشنایی با فرایند نگارش و چاپ مقالات می باشد. جلسات ۱ ساعته و خصوصی می باشند. که هر هفته به ازای هر شخص ۲ جلسه برگذار خواهد شد. جهت ثبت نام و ست کردن زمان با ایدی بنده در ارتباط باشین.
@Raminmousa
Llama-Nemotron: Efficient Reasoning Models
📚 Paper
@Machine_learn
با عرض سلام برای یکی از مقالاتمون نیازمند نفر اول داریم که co-author مقاله هم باشه.
مجله ی ارسالی scientific report natue
https://www.nature.com/srep/
می باشد.
شرایط واگذاری رو در صورت نیاز می تونین با ایدی بنده ست کنین.
@Raminmousa
@Machine_learn
@Paper4money
Crystal Generation with Space Group Informed Transformer
🖥 Github: https://github.com/deepmodeling/crystalformer
📕 Paper: https://arxiv.org/abs/2504.02367v1
🔗 Dataset: https://paperswithcode.com/dataset/alex-20
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International AI Safety Report
📚 Report
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