abhi227070/Image-Generation-Using-GAN-Gen-AI-Project-
Gen AI uses GANs to generate CIFAR-10-like images. The custom GAN model comprises a Generator and a Discriminator. Users can train the model and generate images using Jupyter Notebooks or Google Colab.
This project helps generate new, synthetic images similar to existing ones, which can be used to expand datasets or create visual mock-ups. You provide a dataset of images, and it outputs a collection of newly generated, unique images. This is for data scientists, machine learning practitioners, and digital artists looking to augment image datasets or explore creative concepts.
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Use this if you need to create diverse, synthetic images that resemble a specific style or category of existing images, without having to manually collect new data.
Not ideal if you require a simple, point-and-click graphical interface, as this tool is operated through programming notebooks.
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Last pushed
Mar 30, 2024
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