Image augmentation for machine learning experiments.

Code and assets to generate the documentation of imgaug

Summaries of machine learning papers

Generate human faces with neural networks

Generate cat images with neural networks

Detect cat faces in images using CNNs with regression

CRF to detect named entities (primarily names of people)

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

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

Detect cat faces in videos using pytorch

Plot loss and accuracy of neural networks over time

Neural net to compare human faces.

Playing Mario with Deep Reinforcement Learning

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

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

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

Generate christmas images with neural networks

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

Generate cat images with neural networks (deprecated version)

Transform strings to vectors for neural networks.