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This project implements an image style transfer algorithm using a pre-trained VGG19 model. The goal is to generate a target image that combines the content of a source image with the style of anoth…
This project implements various deep learning models to classify the MNIST dataset, utilizing both Convolutional Neural Networks (CNN) and ResNet architectures. The main functionality includes hype…
This project provides a tool for automatically generating subtitles for videos, supporting both transcription and translation into multiple languages using Whisper and Helsinki-NLP MarianMT models.