📃Graph Neural Networks: A Bibliometric Mapping of the Research Landscape and Applications


📎 Study paper


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Calculus 1 for Honours Mathematics

🔗 Book


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با عرض سلام نفر سوم براي مقاله زير رو خالي داريم.

Title: Alzheimer’s disease (AD) classification
using swin transformer wavelet
and Improved Gray Wolf
Optimization (IGWO)

Abstract: Alzheimer’s disease (AD) is a slow neurological disorder that destroys the thought process, and consciousness, of a human. It directly affects the development of mental ability and neurocognitive functionality. The number of patients with Alzheimer’s disease is increasing day by day, especially in old aged people, who are above 60 years of age, and, gradually, it becomes cause of their death. In this research, our goal is to present ALzSwinTNet for Alzheimer’s classification based on FMRI images. The proposed approach uses wavelet fusion in the swin transformer network to extract features. The igwo and fox optimization approaches were used to find the hyperparameters of the model. ALzSwinTNet was able to achieve an accuracy of 0.98 in 4-class classification and 1 in 2-class classification.

journal: https://www.sciencedirect.com/journal/expert-systems-with-applications

if:7.5

هزینه مشارکت برای نفر سوم ۲۰ تومن می باشد. این هزینه صرف تسویه سرورها خواهد شد.

@Raminmousa
@Machine_learn
https://t.iss.one/+SP9l58Ta_zZmYmY0

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Primers • Overview of Large Language Models

📖 Link


@Machine_learn

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نشریه مد نظر : Nature
@Raminmousa

Artificial Intelligence for Beginners - A Curriculum

📚 Course

@Machine_learn

🛹 RollingDepth: Video Depth without Video Models

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* Source Code: GitHub
* Paper Page: RollingDepth
* Try Demo: Try it here
* Paper Page: RollingDepth

@Machine_learn

Neural Networks
@Machine_learn

Hands-On Large Language Models

📚 Github


@Machine_learn

با عرض سلام دو پکیچ یادگیری ماشین و یادگیری عمیق را برای دوستانی که می خواهند تا فرداشب با تخفیف ۵۰٪ مجدد قرار دادیم این تخفیف اخرین سری از تخفیف های این دو پکیچ می باشد
1: introduction to machine learning
2: Regression (linear and non-linear)
3: Tensorflow introduction
4: Tensorflow computaion graph
5: Tensorflow optimizer and loss function
6: Tensorflow linear and non linear regression
7: logistic regression
8: Tensorflow regression
___________
9: introduction to traditional machine learning
*10: knn and desicion tree
*11: desicion tree and Naive bayes
*12: desicion tree, knn, Naive bayes implementation
*13: k-means
*14: Guassion Mixture Model(GMM)
*15: implementation K-means and GMM
_
16: introduction to Artificial Neural Network
17: Multi-level Neural Network
18: Introduction to Convolution Neural Network
19: Tensorflow Multi-level Neural Network
20:Tensorflow CNN
21:CNN image clasaification
22: Cnn text clasaification
23: Recurrent Neural Network(RNN)

جهت تهیه می تونین به ایدی بنده مراجعه کنین

@Raminmousa

Reinforcement Learning: An Overview

📕 Book

@Machine_learn

OminiControl: Minimal and Universal Control for Diffusion Transformer


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* Source Code: GitHub
* Try Demo: Try it here
* Paper Page: Read Paper

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🎓Ensemble approaches for Link Prediction


📎 Study thesis

@Machine_learn

Fine Tuning LLMs with Hugging Face LLMs Code

https://t.iss.one/deep_learning_proj