Build-a-Vanilla-GAN-on-MNIST-datasete-using-PyTorch

Build-a-Vanilla-GAN-on-MNIST-datasete-using-PyTorch

Anton3090

This repository implements a Vanilla Generative Adversarial Network (GAN) to generate handwritten digits using the MNIST dataset

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Jupyter Notebook Language
30 SrcLog Score
Cost to Build
$1.8K
Market Value
$500
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2 data points  ·  2026-04-10 → 2026-04-17
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What is the Anton3090/Build-a-Vanilla-GAN-on-MNIST-datasete-using-PyTorch GitHub project? Description: "This repository implements a Vanilla Generative Adversarial Network (GAN) to generate handwritten digits using the MNIST dataset". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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