Patrick Wieschollek

I am a research scientist at Amazon.

Before, I studied mathematics and was a PhD student at University Tübingen and MPI Tübingen with a focus on machine learning and massively parallel computing with applications in computer graphics and computer vision.

Implementations

Numerical Solver in C++11

A header-only c++11 implementation of common optimization algorithms and TensorFlow, Matlab bindings using Eigen3.

The MIT License (MIT) C++

Image Viewer

A scientific image viewer written in C++ and Qt accelerate by OpenGL. It supports multiple viewports which are synchronized when dragging and zooming one image.

GPL-3.0 C++

Cluster-SMI

A cluster monitoring system created with Golang to get a quick overview over GPU usage. It is exactly like nvidia-smi but for multiple machines.

GPL-3.0 Go

InfoMark

A web service created with GoLang+Elm to manage university courses with exercise sheets. Students can upload their solutions for exercise sheets, which are automatically tested in Sandbox-Environments (using Docker&AMQP). This is used for courses with over 400 attendees at the university.

GPL-3 Go, Elm

Digital Music Stand

A web-based cross-platform music sheet viewer that support a programmable foot pedal to scroll to the next page during live performance. This app can run on a raspberry pi.

GPL-3.0 Go

TensorFlow Recipes

Implementation of several recent papers in TensorFlow.

Python, Cuda

TensorFlow Inference

Boiler-plate code to run saved models from TensorFlow directly in plain C, C++ and Go.

Apache-2.0 C, C++, Go