AmirhosseinHonardoust/Handwritten-Digit-GAN

A PyTorch implementation of a Deep Convolutional GAN (DCGAN) trained on MNIST. Includes training scripts, generator & discriminator models, random sample generation, latent space interpolation, and loss curve visualization to create realistic handwritten digit images.

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Experimental

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Adoption 7 / 25
Maturity 9 / 25
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Language

Python

License

MIT

Category

gan-image-generation

Last pushed

Sep 12, 2025

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GAN Image Generation · 165 frameworks

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