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دوستانی که می خوان تو حوزه ی LLM مقاله داشته باشن می تونن تو این مقاله شرکت کنند.
Python Programming for Economics and Finance

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📑 A comprehensive review of cluster methods for drug–drug interaction network



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با عرض سلام مقاله زیر جهت ثبت اسم اماده ی ارسال

Title:
Recurrent Neural Networks
Basic deficiencies: NP-complet feature order

Abstract:
The problem of time series prediction analyzes patterns in past data to predict the future. Traditional machine learning algorithms, despite achieving impressive results, require manual feature selection. Automatic feature selection along with the addition of time concept in deep recurrent networks has led to the provision of more suitable solutions. The selection of feature order in deep recurrent networks leads to the provision of different results due to the use of Back-propagation. The problem of selecting feature order is an NP-complete problem. In this research, the aim is to provide a solution to improve this problem. ....

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Machine learning books and papers pinned «با عرض سلام مقاله زیر جهت ثبت اسم اماده ی ارسال Title: Recurrent Neural Networks Basic deficiencies: NP-complet feature order Abstract: The problem of time series prediction analyzes patterns in past data to predict the future. Traditional machine learning…»
Advanced, Overlooked Python Typing

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Designing Machine Learning Systems.pdf
5.7 MB
Designing Machine Learning Systems book

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Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers

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Matplotlib_cheatsheet.pdf
3.1 MB
Matplotlib: Visualization with Python

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دوستان برای این مقاله نیاز به نفرات ۴ و ۵ داریم

Title:
Recurrent Neural Networks
Basic deficiencies: NP-complet feature order

Abstract:
The problem of time series prediction analyzes patterns in past data to predict the future. Traditional machine learning algorithms, despite achieving impressive results, require manual feature selection. Automatic feature selection along with the addition of time concept in deep recurrent networks has led to the provision of more suitable solutions. The selection of feature order in deep recurrent networks leads to the provision of different results due to the use of Back-propagation. The problem of selecting feature order is an NP-complete problem. In this research, the aim is to provide a solution to improve this problem. ....

Price:


4:300$
5:200$
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🔹 Title: ObjFiller-3D: Consistent Multi-view 3D Inpainting via Video Diffusion Models

🔹 Publication Date: Published on Aug 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.18271
• PDF: https://arxiv.org/pdf/2508.18271
• Project Page: https://objfiller3d.github.io/
• Github: https://github.com/objfiller3d/ObjFiller-3D

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🔹 Title: ReportBench: Evaluating Deep Research Agents via Academic Survey Tasks

🔹 Publication Date: Published on Aug 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.15804
• PDF: https://arxiv.org/pdf/2508.15804

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🛠️OpenAI just released new guide on how coding agents like GPT-5.1-Codex-Max plug into everyday engineering workflow

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🔹 Title: Forecasting Probability Distributions of Financial Returns with Deep Neural Networks

🔹 Publication Date: Published on Aug 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.18921
• PDF: https://arxiv.org/pdf/2508.18921
• Github: https://github.com/jmichankow/deep_learning_probability

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Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models

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Python Programming Hans-Petter Halvorsen

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Dataset Name: Malaria Bounding Boxes
Basic Description: P. vivax (malaria) infected human blood smears

📖 FULL DATASET DESCRIPTION:

Malaria is a disease caused by Plasmodium parasites that remains a major threat in global health, affecting 200 million people and causing 400,000 deaths a year. The main species of malaria that affect humans are Plasmodium falciparum and Plasmodium vivax.

📥 DATASET DOWNLOAD INFORMATION


🔴 Dataset Size: Download dataset as zip (5 GB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/kmader/malaria-bounding-boxes

📊 Additional information:

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Views: 54,400
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