Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
Implementation of GANomaly with MNIST dataset
TensorFlow implementation of Disentangled Generative Model (DGM) with MNIST dataset.
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
Implementation of Skip-GANomaly with MNIST dataset
TensorFlow implementation of GANomaly (with MNIST dataset)
TensorFlow implementation of f-AnoGAN (with MNIST dataset)
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.
Generative neural networks for fast ZDC simulations
Mazes generation with Variational Autoencoders
Investigation into Generative Neural Networks.
Implementation of Convolutional Variational Auto-Encoder (CVAE)
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