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1. Improvement-of-YOLO-3-algorithm-for-object-detection Improvement-of-YOLO-3-algorithm-for-object-detection Public

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2. Text-classification-with-ParsBERT Text-classification-with-ParsBERT Public

   In this project, we attempted to analyze users' sentiments on Twitter. For this purpose, we utilized the parsBERT model

   Jupyter Notebook 1

3. Sentiment-analysis-from-human-voice-using-the-Hubert-model. Sentiment-analysis-from-human-voice-using-the-Hubert-model. Public

   In this code, we have used common and well-known datasets such as the Toronto dataset available on Kaggle to create a sentiment analysis model from human voice. This model is designed based on the …

   Jupyter Notebook 5

4. Dynamic-overlapping-community-detection Dynamic-overlapping-community-detection Public

   This project focuses on detecting overlapping communities in dynamic networks. Unlike traditional static community detection methods, this approach identifies communities that evolve over time, all…

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5. Optimization-of-Convolutional-Neural-by-PSO Optimization-of-Convolutional-Neural-by-PSO Public

   In this project, we executed an optimized architecture for image recognition on the CIFAR-10 dataset using the Particle Swarm Optimization (PSO) method.

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6. Image-classification-with-condens-net Image-classification-with-condens-net Public

   In this project, we used the CondenseNet model for image classification. The dataset utilized for training and evaluation is CIFAR-10.

   Jupyter Notebook 1