FEDn is a framwork for scalable federated machine learning. The project is a collaboration with our spin-off Scaleout.
StochSS is cloud service for modeling and analyzing biological systems. https://github.com/StochSS/stochss
Sciope is a Python3 package supporting ML-assisted model exploration of stochastic biochemical reaction networks. It is part of the StochSS Suite of Software.
HASTE Tookit is a collection of tools enabling rapid construction of cloud-native, intelligent data pipelines following the model developed in the HASTE Project.
PyURDME is a modeling and simulation toolkit for spatial stochastic simulations. It makes use of a modified version of the core solver of URDME (www.urdme.org) for mesocopic simulations via the Reaction-Diffusion Master Equation (RDME), and builds on Dolfin/FeniCS (http://fenicsproject.org) for geometric modeling, meshing and Finite Element Assembly. pyURDME only rely on open-source dependencies, and offer an object-oriented pythonic API to construct and simulate models.