zhangqianhui/Conditional-GAN
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
This project helps machine learning researchers explore and implement conditional generative adversarial networks (CGANs). It takes an input dataset, like handwritten digits, and generates new, similar data based on specific conditions you provide. The primary user would be a researcher or student working on generative models or deep learning experiments.
220 stars. No commits in the last 6 months.
Use this if you are a researcher or student looking for a TensorFlow implementation to train and experiment with conditional GANs, particularly for image generation tasks.
Not ideal if you need a production-ready solution or a tool for general-purpose data generation outside of research and experimentation.
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Python
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MIT
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Last pushed
Jun 27, 2022
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