YeongHyeon/CVAE-AnomalyDetection-PyTorch

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

Language: Python - Size: 2.31 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 42 - Forks: 2

YeongHyeon/adVAE

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'

Language: Python - Size: 3.38 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 19 - Forks: 4

YeongHyeon/GANomaly-PyTorch

Implementation of GANomaly with MNIST dataset

Language: Python - Size: 710 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 2

YeongHyeon/DGM-TF

TensorFlow implementation of Disentangled Generative Model (DGM) with MNIST dataset.

Language: Python - Size: 3.06 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 0

JBris/model-calibration-evaluation

Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference

Language: Python - Size: 4.18 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 11 - Forks: 1

YeongHyeon/GANomaly-TF

TensorFlow implementation of GANomaly (with MNIST dataset)

Language: Python - Size: 4.49 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 1

YeongHyeon/Skip-GANomaly

Implementation of Skip-GANomaly with MNIST dataset

Language: Python - Size: 421 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 2

YeongHyeon/f-AnoGAN-TF

TensorFlow implementation of f-AnoGAN (with MNIST dataset)

Language: Python - Size: 3.62 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1

YeongHyeon/CVAE-AnomalyDetection-TF2

Language: Python - Size: 1.56 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 1

YeongHyeon/CVAE-AnomalyDetection

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

Language: Python - Size: 1.84 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1

JBris/deep-root-gen

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.

Language: Python - Size: 4.71 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 1

m-wojnar/zdc

Generative neural networks for fast ZDC simulations

Language: Python - Size: 23.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

antigones/pymazes-vae

Mazes generation with Variational Autoencoders

Language: Python - Size: 37.1 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

YeongHyeon/CVAE

Implementation of Convolutional Variational Auto-Encoder (CVAE)

Language: Python - Size: 986 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

shamim-hussain/generative_neural_networks

Investigation into Generative Neural Networks.

Language: Python - Size: 119 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

m-wojnar/faster_zdc

Even Faster Simulation of the Zero Degree Calorimeter Responses with Flow Matching

Language: Python - Size: 69.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0