Alexander Jung

imgaug. Image augmentation for machine learning experiments.

papers. Summaries of machine learning papers

mario-ai. Playing Mario with Deep Reinforcement Learning

self-driving-truck. Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

cat-generator. Generate cat images with neural networks

face-generator. Generate human faces with neural networks

imgaug-doc. Code and assets to generate the documentation of imgaug

face-comparer. Neural net to compare human faces.

ner-crf. CRF to detect named entities (primarily names of people)

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

LossAccPlotter. Plot loss and accuracy of neural networks over time

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

cat-bbs. Detect cat faces in videos using pytorch

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

gan-error-avoidance. Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

cat-bbs-regression. Detect cat faces in images using CNNs with regression

CharVectorizer. Transform strings to vectors for neural networks.

gan-reverser. Reversing GAN image generation for similarity search and error/artifact fixing

christmas-generator. Generate christmas images with neural networks

pomegranate. Graphical models for Python, implemented in Cython for speed.

cat-generator-deprecated. Generate cat images with neural networks (deprecated version)

eyescream. natural image generation using ConvNets

numpy. The fundamental package for scientific computing with Python.

keras. Theano-based Deep Learning library