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torchgan / torchgan

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Expose functional API for losses

avik-pal
avik-pal commented Dec 17, 2018

This needs to be done in 2 parts:

  • Separate out the functional forms of the losses into a module of losses
  • Document the necessary functions

We don't need to expose all the functions. Some functions do nothing fancy and they need to be removed and the entire computation can be performed inside the forward function.

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enhancement good first issue

omerbsezer / Generative_Models_Tutorial_with_Demo

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Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

tutorial generative-adversarial-network dcgan generative-model gaussian-mixture-models auto-regressive-model gans bayesian-classifiers variational-inference tutorial-code variational-autoencoder cyclegan
  • Updated Jan 21, 2019
  • Jupyter Notebook

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