poloclub/ganlab
An interactive browser tool for learning and experimenting with Generative Adversarial Networks through visual training and real-time visualization.
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GAN Lab is an interactive visualization tool that lets users train GAN models on 2D data distributions directly in the browser and observe their inner workings. Built with TensorFlow.js, it runs entirely client-side without needing a backend, making deep learning concepts accessible through hands-on experimentation similar to TensorFlow Playground.
Frequently asked
- What is poloclub/ganlab?
- An interactive browser tool for learning and experimenting with Generative Adversarial Networks through visual training and real-time visualization.
- Is ganlab open source?
- Yes — poloclub/ganlab is open source, released under the Apache-2.0 license.
- What language is ganlab written in?
- poloclub/ganlab is primarily written in JavaScript.
- How popular is ganlab?
- poloclub/ganlab has 1.5k stars on GitHub.
- Where can I find ganlab?
- poloclub/ganlab is on GitHub at https://github.com/poloclub/ganlab.