PHOTON

A Python-based Hyperparameter Optimization Toolbox for Neural Networks designed to accelerate and simplify the construction, training, and evaluation of machine learning models.

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Features

PHOTON Modules

PHOTON Modules are add-ons to the PHOTON package which allow users to include modality-specific operations directly into their machine learning pipeline. Thus, users can harness PHOTON's full power while directly working with their favorite modality-specific software or algorithms. In this way, all preprocessing steps can also be used with hyperparameter search.

PHOTON Wizard

The PHOTON Wizard enables you to design complex machine learning pipelines in PHOTON without the need to code.

Ramona Leenings, Nils Winter

AI and Machine Learning in Psychiatry Group

University of Muenster

PHOTON Genetics

PHOTON-Genetics enables loading and preprocessing of genetic data based on the PLINK package.

Prof. Dr. B. Müller-Myhsok

Statistical Genetics

Max Planck Institute of Psychiatry Munich

PHOTON Neuro

PHOTON-Neuro enables loading and proprecessing neuroimaging data such as structural and functional Magnetic Resonance Imaging (MRI) data. In addition, it supports a range of advanced feature extraction and feature engineering as well as atlas-based analyses.

Prof. Dr. Dr. U. Dannlowski

Translational Psychiatry Group

University of Muenster

PHOTON Now

PHOTON-Now enables loading and proprecessing temporal (i.e. time-series) data with a focus on neuroimaging modalities (such as EEG, MEG and resting-state functional MRI) and smartphone sensor data. In addition, it supports a range of advanced time-series analysis tools based on Deep Learning (e.g. LSTMs) and Complex Systems Analysis (e.g. stochastic differential equation modeling).

PD Dr. T. Hahn & Dr. O. Kamps

AI and Machine Learning in Psychiatry Group, Center for Nonlinear Science

University of Muenster

PHOTON Repository

PHOTON-Repository is a platform enabling direct sharing of pre-trained machine learning models - PHOTON-based or otherwise - with the community. It thus allows researchers to disseminate their accomplishments while simultaneously providing a hub for all reseachers seeking state-of-the-art models. Thereby, PHOTON-Repository fosters and supports current efforts towards replicability and real-life validation.

PHOTON Team

AI and Machine Learning in Psychiatry Group

University of Muenster

PHOTON eDoc

PHOTON-eDoc is a growing set of tools and algorithms enabling the analysis of real-life clinical data including for example psychometric data and text from eletronic patient records. It is designed specifically for unstructured data which would otherwise be difficult to handle in machine learning analyses.

Dr. med. Nils Opel, PD Dr. T. Hahn

Translational Psychiatry Group & AI and Machine Learning in Psychiatry Group

University of Muenster

Sounds good?!

Dive deeper, explore some examples and read the documentation.

Model Repository

Science needs exchange and cooperation.

We re-invented the wheel so many times in our work, that we feel the need to create a place where we can all share our best ideas - not as a paper, but in a form usable right away for everyone. Let others benefit from your work - benefit from others' work.


Explore the model repository

THE TEAM

Tim Hahn

Prof. Dr. Tim Hahn

Heisenberg Professor for Machine Learning in Psychiatry


Ramona Leenings

Ramona Leenings

Lead Developer
Software Architecture and AI


Nils Winter

Nils Winter

Lead Developer
Neuroimaging and AI


Daniel Emden

Daniel Emden

Lead Developer
Mobile Sensing and AI


Dominik Grotegerd

Dominik Grotegerd

Administrator


Vincent Holstein

Vincent Holstein

Developer


Lucas Plagwitz

Lucas Plagwitz

Developer


Aayush Grover

Aayush Grover

Developer


Special Thanks goes to the Department of Computer Science, University of Muenster

Xiaoyi Jiang

Prof. Dr. Xiaoyi Jiang

Head of Pattern Recognition and Image Analysis Department
PHOTON Advisory Board


Xiaoyi Jiang Students

PHOTON Developers

Computer Science Students


Say Hi!

Google Map of Albert-Schweitzer-Campus 1/A9, Münster, Germany
Albert-Schweitzer-Campus 1/A9
48149 Münster
HahnT@wwu.de
0251 8351855