# Adversarial Feature Learning

Implementation in 100 lines of code of the paper [Adversarial Feature Learning](https://arxiv.org/abs/1605.09782).

## Usage

```commandline
$ pip3 install -r requirements.txt
$ python3 adversarial_feature_learning.py
```

## Results

#### Qualitative results for permutation-invariant MNIST BiGAN training, including generator samples G(z), real data x, and corresponding reconstructions G(E(x)).
![](Imgs/adversarial_feature_learning.png)

