The Latest Trend In Top Open-Source GANs(Generative adversarial network) Projects

Mrinal Walia

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Analytics Vidhya

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5 min read

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Oct 5, 2020

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A generative adversarial network (GAN) is a class of machine learning frameworks which when given a training set, this technique learns to generate new data with the same statistics as the training set. For example, a GAN trained on photographs can generate new photographs that look at least superficially authentic to human observers, having many realistic characteristics. Though originally proposed as a form of a generative model for unsupervised learning, GANs have also proven useful for semi-supervised learning, fully supervised learning and reinforcement learning.

In today’s article, we are going to talk about five of the open-source GAN projects, which you can include in your next project.

Note: In this article we are going to talk about some of the not-so-famous but really good GANs Projects which you can use in your projects. To read more about each of them I recommend following the link given along the project.