Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
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Updated
May 24, 2021 - Python
Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
Implementation of Skip-GANomaly with MNIST dataset
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
Implementation of GANomaly with MNIST dataset
TensorFlow implementation of f-AnoGAN (with MNIST dataset)
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
Mazes generation with Variational Autoencoders
Generative neural networks for fast ZDC simulations
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
TensorFlow implementation of Disentangled Generative Model (DGM) with MNIST dataset.
Investigation into Generative Neural Networks.
Implementation of Convolutional Variational Auto-Encoder (CVAE)
TensorFlow implementation of GANomaly (with MNIST dataset)
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