Hossein's repositories

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RSA-AES-ElGamal-and-Diffie-Hellman-Implementations-in-Python

This project presents a Cryptographic Algorithms Toolkit developed in Python, aimed at showcasing the implementation and application of four cornerstone cryptographic protocols: RSA, AES in CTR mode, ElGamal encryption, and the Diffie-Hellman key exchange method. Through this toolkit, users gain hands-on experience with:

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Advanced-Facial-Recognition-System-Using-Deep-Learning

This project develops an advanced facial recognition system leveraging the power of convolutional neural networks (CNNs) and PyTorch, one of the leading deep learning libraries. The system preprocesses facial images from the YaleB dataset, applies image transformations for augmentation, and implements a CNN model for accurate facial recognition.

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