Alexander Jung

Image augmentation for machine learning experiments.

Summaries of machine learning papers

Generate cat images with neural networks

Playing Mario with Deep Reinforcement Learning

Generate human faces with neural networks

Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

Code and assets to generate the documentation of imgaug

Neural net to compare human faces.

CRF to detect named entities (primarily names of people)

Add colors to black and white images with neural networks (GANs).

Plot loss and accuracy of neural networks over time

Detect cat faces in videos using pytorch

Generate images of skies, clouds and sunsets with neural networks.

Toy/training implementations for classical computer vision algorithms. Not intended for productive use.

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

Detect cat faces in images using CNNs with regression

Transform strings to vectors for neural networks.

Reversing GAN image generation for similarity search and error/artifact fixing

Generate christmas images with neural networks

Graphical models for Python, implemented in Cython for speed.

natural image generation using ConvNets

Generate cat images with neural networks (deprecated version)

The fundamental package for scientific computing with Python.

Theano-based Deep Learning library