GitHub / Abbasderbas / GAN

GAN, SSGAN, WGAN, and VAE are neural networks for content generation. GAN generates realistic images, SSGAN improves quality, WGAN ensures stability, and VAE compresses data to learn features. Applications include image generation, quality enhancement, and fraud detection.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abbasderbas%2FGAN
PURL: pkg:github/Abbasderbas/GAN

Topics: computer-graphics, dcgan, deep-learning, deep-neural-networks, ethereum, image-editing, machine-learning, motion-transfer, neural-networks, resolution, tensorflow, torch, wasserstein-gan, wav2lip

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