Gan Ad

We used generative adversarial networks (GANs) to do anomaly detection for time series data.
Alternatives To Gan Ad
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Time Series Prediction762
3 months ago11October 16, 202311mitPython
tfts: Time series deep learning models in TensorFlow
Rgan413
5 years ago18mitPython
Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
Doppelganger259
5 months ago4bsd-3-clause-clearPython
[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Timeseries_gan246
6 years ago6mitPython
A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
Mad Gans170
5 years ago11Python
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
Gan Rnn_timeseries Imputation118
a year ago6mitJupyter Notebook
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
Deepecho7565 months ago33November 13, 202311otherPython
Synthetic Data Generation for mixed-type, multivariate time series.
Gan Ad49
5 years ago5Python
We used generative adversarial networks (GANs) to do anomaly detection for time series data.
Pytorch Gan Timeseries47
5 years ago2Python
GANs for time series generation in pytorch
Mtss Gan27
3 years ago
MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
Alternatives To Gan Ad
Select To Compare


Alternative Project Comparisons
Popular Series Projects
Popular Generative Adversarial Network Projects
Popular Control Flow Categories

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Python
Series
Generative Adversarial Network