Open source software

The open source softwares available in the field of Artificial Intelligence are listed below.

ALGORITHMS

• Neuromodulated neural networks : Introducing neuromodulation in deep neural networks to learn adaptive behaviours. Coordinator : Pr. Guillaume Drion | Publication | Github | Distribution : Creative Commons Attribution (CC BY) license
• GENIE3 : Network (gene) inference algorithms from tabular and time series data, based on regression tree set methods and their integration with differential equations. Coordinator : Pr. Pierre Geurts | Publication | Github | Distribution : BSD
• dynGENIE3 : Network (gene) inference algorithms from tabular and time series data, based on regression tree set methods and their integration with differential equations. Coordinateur : Pr. Pierre Geurts | Publication | Github | Distribution : BSD

SOFTWARES

• Cytomine Version R&D ULiège : Open-source rich internet application for collaborative analysis of multi-gigapixel images. Coordinator : Dr. Raphaël Marée | Publication | Github | Distribution : Apache-2.0
• Biaflows : A collaborative framework based on Cytomine to benchmark and deploy bioimage analysis workflows. Coordinateur : Dr. Raphaël Marée | Publication | Github | Distribution : Apache-2.0
• Transfer learning for digital pathology. Coordinator : Dr. Raphaël Marée | Publication | Github | Distribution : Apache-2.0
• ARTHuS : ARTHuS is a technique to build adaptive real-time match-specific networks for human segmentation, without requiring any manual annotation. Coordinator : Pr. Marc Van Droogenbroeck | Publication | Github | Distribution : AGPLv3

BASES DE DONNEES

• Mid-Air : Machine learning database for drone flight videos. Coordinateur : Pr. Marc Van Droogenbroeck | Publication | Repository | Distribution : Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Licence