We aim to provide computational tools that simplify and speed up day-to-day research.
Our assets can be used without specific data science expertise.
We make tools that can run in the browser or on standard computers.
We provide a number of predictions off the shelf to reduce computational burden.
Complex pipelines can be build by assembling multiple AI/ML assets.
Our code is well organised, documented, readable and open.
We work hand-in-hand with our collaborators and users.
The largest repository of AI/ML models for Global Health
Design and synthesis of new antimalarials
Building state-of-the-art AI/ML models with no need for expertise
We predict the activity of >20,000 plant ingredients from African flora
Browse a selection of our GitHub repositories to find more about specific projects, read the code and contribute!
We work as openly as possible. See our successful, unsuccessful and pending grant applications.