Jamovi google
The jamovi project was founded to develop a free and open statistical platform which is intuitive to use, and can provide the latest developments in statistical methodology. At the core of the jamovi philosophy, is that scientific software should be ‘community driven’, where anyone can develop and publish analyses, and make them available to a wide audience.
jamovi for R: Easy but Controversial

Structural Graph Convolutional Neural Network (SGCNN) google
The digitalization of automation engineering generates large quantities of engineering data that is interlinked in knowledge graphs. Classifying and clustering subgraphs according to their functionality is useful to discover functionally equivalent engineering artifacts that exhibit different graph structures. This paper presents a new graph learning algorithm designed to classify engineering data artifacts — represented in the form of graphs — according to their structure and neighborhood features. Our Structural Graph Convolutional Neural Network (SGCNN) is capable of learning graphs and subgraphs with a novel graph invariant convolution kernel and downsampling/pooling algorithm. On a realistic engineering-related dataset, we show that SGCNN is capable of achieving ~91% classification accuracy. …

Greenhouse google
Greenhouse – a zero-positive machine learning system for time-series anomaly detection. …