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Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn
Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening
📚 Read
@Machine_learn
LINEAR ALGEBRA Jim Hefferon Fourth edition
📚 Read
@Machine_learn
Good papers
Solving Video Inverse Problems Using Image Diffusion Models
Deep Random Features for Scalable Interpolation of Spatiotemporal Data
Century: A Framework and Dataset for Evaluating Ethical Contextualisation of Sensitive Images
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion
A Decade’s Battle on Dataset Bias: Are We There Yet?
HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models
@Machine_learn
Article Title:
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
PDF Download Link:
https://arxiv.org/pdf/2504.19254v2.pdf
GitHub:
• https://github.com/cvs-health/uqlm
Datasets:
• GSM8K
• SVAMP
• PopQA
@Machine_learn
COUNTING THE NUMBER OF Zp-AND Fp[t]-FIXED POINTS OF A DISCRETE DYNAMICAL
SYSTEM WITH APPLICATIONS FROM ARITHMETIC STATISTICS
📚 Read
@Machine_learn
MuLoCo: Muon is a practical inner optimizer for DiLoCo
📚 Read
@Machine_learn
TabSTAR: A Foundation Tabular Model With
Semantically Target-Aware Representations
📚 Paper
@Machine_learn
THE WAY OF CODE The Timeless Art of Vibe Coding
📚 link
@Machine_learn
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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
@Machine_learn
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
با عرض سلام دو موضوع رو می خواهیم به صورت گروهی ادامه بدیم.
- survey on GAN methods for time series data generation
- survey on highlights the advantages of foundation in new learning methods for time series data
این دو مقاله به صورت جلسه ای برگزار میشه و هر هفته ۱.۵ ساعت تدریس رو خواهم داشت برای کسانی که می خوان شرکت کنند. هر مقاله ۶ نفر خواهد داشت و هزینه هر نفر ۲۰۰$ خواهد بود.
دوستانی که اولین مقالشون و یا میخوان داخل این مقالات شرکت کنند به ایدی بنده مراجعه کنند.
@Raminmousa
@Machine_learn
@Paper4money
Article Title:
s3: You Don't Need That Much Data to Train a Search Agent via RL
PDF Download Link:
https://arxiv.org/pdf/2505.14146v1.pdf
GitHub:
• https://github.com/pat-jj/s3
Datasets:
• Natural Questions
• TriviaQA
• HotpotQA
• MedQA
• PubMedQA
==================================
@Machine_learn
Forecasting: Principles and Practice
📚 Book
@Machine_learn
Owen 3 release
📖 Blog
@LLM_learning
A Tutorial on Meta-Reinforcement
Learning
📚 Read
@Machine_learn
System Card: Claude Opus 4 & Claude Sonnet 4
📚 Book
@Machine_learn
EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
📚 Paper
@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
@Machine_learn
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
@Machine_learn
Probability Cheatsheet
@Machine_learn
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
@Machine_learn
Brownian Motion
📚 Book
@Machine_learn
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/
@Machine_learn