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In this presentation we present how to make use of the latest technical advancements in computer vision with an R setup even if they are...

Fast.ai in R: How to Make a Computer Vision Model within an R Environment

Fast.ai in R: How to Make a Computer Vision Model within an R Environment
In this presentation we present how to make use of the latest technical advancements in computer vision with an R setup even if they are originally implemented in Python.
Appsilon created a dashboard in collaboration the International Institute for Applied Systems Analysis to deliver information about COVID-19 to policymakers. We implemented the solution with...

IIASA Collaboration: An Interactive Map for COVID-19 Public Policy Decisions

IIASA Collaboration: An Interactive Map for COVID-19 Public Policy Decisions
Appsilon created a dashboard in collaboration the International Institute for Applied Systems Analysis to deliver information about COVID-19 to policymakers. We implemented the solution with Python and Svelte.
In this article, we focus on the technical aspects of the machine learning solution we implemented for the xView2 competition. We used PyTorch to build...

Satellite Image Analysis with fast.ai for Disaster Recovery

Satellite Image Analysis with fast.ai for Disaster Recovery
In this article, we focus on the technical aspects of the machine learning solution we implemented for the xView2 competition. We used PyTorch to build our models for satellite image analysis and fast.ai to develop their critical parts.
 27 April 2020