Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with generative-neural-network
A curated list of projects in awesome lists tagged with generative-neural-network .
https://github.com/yeonghyeon/cvae-anomalydetection-pytorch
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
anomaly-detection convolutional-neural-networks generative-neural-network mnist-dataset pytorch variational-autoencoder
Last synced: 11 Nov 2024
https://github.com/yeonghyeon/advae
Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
adversarial-learning auto-encoder generative-neural-network variational-autoencoder
Last synced: 11 Nov 2024
https://github.com/yeonghyeon/ganomaly-pytorch
Implementation of GANomaly with MNIST dataset
anomaly-detection generative-adversarial-network generative-neural-network mnist-dataset
Last synced: 11 Nov 2024
https://github.com/yeonghyeon/ganomaly-tf
TensorFlow implementation of GANomaly (with MNIST dataset)
anomaly-detection generative-adversarial-network generative-neural-network mnist-dataset
Last synced: 11 Nov 2024
https://github.com/yeonghyeon/f-anogan-tf
TensorFlow implementation of f-AnoGAN (with MNIST dataset)
anomaly-detection generative-adversarial-network generative-neural-network mnist-dataset
Last synced: 11 Nov 2024
https://github.com/yeonghyeon/skip-ganomaly
Implementation of Skip-GANomaly with MNIST dataset
anomaly-detection generative-adversarial-network generative-neural-network mnist-dataset
Last synced: 11 Nov 2024
https://github.com/yeonghyeon/dgm-tf
TensorFlow implementation of Disentangled Generative Model (DGM) with MNIST dataset.
anomaly-detection disentangled-generative-model generative-adversarial-network generative-neural-network mnist-dataset
Last synced: 11 Nov 2024
https://github.com/jbris/model-calibration-evaluation
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
approximate-bayesian-computation bayesian-optimization bayesian-statistics bolfi deep-learning differential-evolution-mcmc generative-neural-network global-optimization kriging likelihood-free-inference optuna polynomial-chaos polynomial-chaos-expansion pymc sensitivity-analysis shuffled-complex-evolution simulation-based-inference sobol-indices surrogate-models uncertainty-analysis
Last synced: 13 Nov 2024
https://github.com/yeonghyeon/cvae-anomalydetection
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
anomaly-detection convolutional-neural-networks generative-neural-network mnist-dataset variational-autoencoder
Last synced: 11 Nov 2024
https://github.com/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.
3d-modelling 3d-models approximate-bayesian-computation bayesian-inference bayesian-statistics crop-model crop-modeling dash-app dash-plotly deep-learning generative-neural-network likelihood-free-inference normalising-flows normalizing-flows optuna root-system root-system-architecture sequential-monte-carlo simulation-based-inference simulation-modeling
Last synced: 13 Nov 2024
https://github.com/yeonghyeon/cvae
Implementation of Convolutional Variational Auto-Encoder (CVAE)
convolutional-neural-networks generative-neural-network variational-autoencoder
Last synced: 11 Nov 2024