kartikgill/TF2-Keras-GAN-Notebooks
Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
This collection helps you understand and implement Generative Adversarial Networks (GANs) for creating new images. You can input existing images like faces, fashion items, or maps, and generate realistic new examples, or transform images from one style to another (e.g., black and white to color). It's ideal for machine learning practitioners and researchers interested in image synthesis and transformation.
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Use this if you want to explore or implement various GAN architectures to generate synthetic images, upscale image resolution, or perform image-to-image translations.
Not ideal if you are looking for a ready-to-use application or a production-ready solution without needing to dive into the code and machine learning concepts.
Stars
37
Forks
13
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 19, 2021
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