Investigation into Generative Neural Networks.
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Updated
Nov 2, 2018 - Python
Investigation into Generative Neural Networks.
Implementation of Convolutional Variational Auto-Encoder (CVAE)
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
Implementation of GANomaly with MNIST dataset
Implementation of Skip-GANomaly with MNIST dataset
TensorFlow implementation of f-AnoGAN (with MNIST dataset)
TensorFlow implementation of Disentangled Generative Model (DGM) with MNIST dataset.
TensorFlow implementation of GANomaly (with MNIST dataset)
Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
Mazes generation with Variational Autoencoders
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
Generative neural networks for fast ZDC simulations
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