This repository contains an implementation of the Conditional Generative Adversarial RNN model for the MNIST data set. An implementation on a textual data set, preprocessed data and code documentation can be found here.
- matplotlib (2.0.2)
- numpy (1.14.0)
- python (3.6.4)
- scikit-learn (0.19.1)
- tensorflow (1.5.0)
All experiments were conducted using the above packages. There is no guarantee that the provided code in this repository works with older package versions than the above-mentioned.
This project is published under the MIT License