A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.
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Updated
Aug 18, 2024 - Python
A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.
Mazes generation with Variational Autoencoders
Generative neural networks for fast ZDC simulations
Investigation into Generative Neural Networks.
Implementation of Convolutional Variational Auto-Encoder (CVAE)
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
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
TensorFlow implementation of Disentangled Generative Model (DGM) with MNIST dataset.
TensorFlow implementation of GANomaly (with MNIST dataset)
Implementation of GANomaly with MNIST dataset
Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
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