DCGAN LSGAN WGAN-GP DRAGAN PyTorch. Stars. 136. License. mit. Open Issues. 0. Most Recent Commit. 5 months ago. Related Projects. python (52,053)pytorch (2,289)dcgan
LSGAN solves the following problems: where a, b and c refer to the baseline values for the discriminator. The above equation use a least square loss, under which the discriminator is forced to have designated values (a, b and c) for the real samples and the generated samples, respectively, rather than a probability for the real or fake samples.
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PyTorch 0.4.1 | Python 3.6.5 Annotated implementations with comparative introductions for minimax, non-saturating, wasserstein, wasserstein gradient penalty, least squares, deep regret analytic, bounded equilibrium, relativistic, f-divergence, Fisher, and information generative adversarial networks (GANs), and standard, variational, and bounded information rate variational autoencoders (VAEs).
My dataset is very specific and made up of small girl dresses from one particular brand. It consists of 206 items of dimension 96x72x3.
PyTorch 0.4.1 | Python 3.6.5 Annotated implementations with comparative introductions for minimax, non-saturating, wasserstein, wasserstein gradient penalty, least squares, deep regret analytic, bounded equilibrium, relativistic, f-divergence, Fisher, and information generative adversarial networks (GANs), and standard, variational, and bounded information rate variational autoencoders (VAEs).
2018-04-25 · Collection of PyTorch implementations of Generative Adversarial Network varieties presented in research papers. Model architectures will not always mirror the ones proposed in the papers, but I have chosen to focus on getting the core ideas covered instead of getting every layer configuration right.
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DCGAN LSGAN WGAN-GP DRAGAN PyTorch. Stars.
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Developer Resources. Find resources and get questions answered. Forums. A place to discuss PyTorch code, issues, install, research. Models (Beta) Discover, publish, and reuse pre-trained models DCGAN LSGAN WGAN-GP DRAGAN PyTorch. Contribute to doantientai/DCGAN-LSGAN-WGAN-GP-DRAGAN-Pytorch development by creating an account on GitHub.