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.
TensorFlow implementation of GANomaly (with MNIST dataset)
TensorFlow implementation of f-AnoGAN (with MNIST dataset)
Implementation of Skip-GANomaly with MNIST dataset
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
Mazes generation with Variational Autoencoders
Investigation into Generative Neural Networks.
Implementation of Convolutional Variational Auto-Encoder (CVAE)
Generative neural networks for fast ZDC simulations
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