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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'

autoencoder anomaly-detection bigan mvtec-ad

pytorch implementation

pytorch gan bidirectional bigan

some models with easy understand code

tensorflow gan dcgan autoencoder vae densenet resnet highway-network cyclegan mobilenet cgan acgan aae cogan ccgan bgan bigan

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

gan dcgan cgan chest-xray bigan

python tensorflow keras gan neuralnet alphagan bigan

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