# IvanBongiorni/GAN-RNN\_Timeseries-imputation

<https://repo.masters-masters.com/en/repos/IvanBongiorni/GAN-RNN_Timeseries-imputation>

[Home](https://repo.masters-masters.com/en) › [IvanBongiorni](https://repo.masters-masters.com/en/owners/IvanBongiorni) › [GAN-RNN\_Timeseries-imputation](https://repo.masters-masters.com/en/repos/IvanBongiorni/GAN-RNN_Timeseries-imputation)

IvanBongiorni/GAN-RNN\_Timeseries-imputation has 173 stars on GitHub. Its RepoMasters card: Prototype tier. Recurrent GAN for imputation of time series data…

| Field | Value |
| --- | --- |
| Owner | [IvanBongiorni](https://repo.masters-masters.com/en/owners/IvanBongiorni) |
| Stars | 173 |
| Forks | 27 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | seq2seq, gan, forecasting, rnn, cnn, machine-learning, tensorflow, tensorflow2, python |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [IvanBongiorni/GAN-RNN\_Timeseries-imputation](https://github.com/IvanBongiorni/GAN-RNN_Timeseries-imputation) |

## Repository

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.