Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
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Updated
Apr 9, 2024 - Python
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
TensorFlow implementation of GANomaly (with MNIST dataset)
Implementation of Skip-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
A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.
Investigation into Generative Neural Networks.
Implementation of Convolutional Variational Auto-Encoder (CVAE)
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