Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'

pytorch implementation

We explored audio interpolation & translation on four types of generative models: VAE, ACAI, MelGAN-VC, and BiGAN.

some models with easy understand code

Novelty detection on mars photos from multispectral curiosity mastcam camera using VAE, FLOW and GAN models

Keras implementation of different types of Generative Adversarial Networks (GANs)

Personal repository to learn about different types of GAN models.

Neural Network Project with Jupiter. This Neural network project has been chosen to study and then implement, a machine learning framework called Bidirectional Generative Adversarial Networks, also simply known as BIGANs

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