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  1. image-generation-with-pre-trained-model image-generation-with-pre-trained-model Public

    Generate high-quality images using a pre-trained deep learning model. Supports text prompts or latent inputs and runs on CPU/GPU. Quick setup for experimentation with generative AI.

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  2. Neural-style-transfer Neural-style-transfer Public

    Neural Style Transfer uses deep learning to blend the content of one image with the artistic style of another, creating visually stunning artworks. It’s a perfect example of AI meeting creativity!

    Jupyter Notebook

  3. Image-to-Image-Translation-with-cGAN Image-to-Image-Translation-with-cGAN Public

    This project uses a Conditional GAN (cGAN) to translate input images into corresponding output images by learning paired image mappings, enabling realistic and structure-preserving transformations.

    Jupyter Notebook

  4. Text-Generation-with-GPT-2 Text-Generation-with-GPT-2 Public

    This project demonstrates text generation using GPT-2, a transformer-based language model that generates coherent and context-aware text based on a given input prompt.

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  5. Text-Generation-with-Markow-Chains Text-Generation-with-Markow-Chains Public

    This project implements text generation using Markov Chains, a probabilistic model that generates new text by predicting the next word based on the current state and learned transition probabilitie…

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  6. COVID-19-Data-Analytics-Dashboard COVID-19-Data-Analytics-Dashboard Public

    An interactive COVID-19 data analytics dashboard that visualizes global trends in confirmed cases, deaths, and recoveries using real-world datasets.

    Jupyter Notebook