All my 9 posts published since 2020
Enabling CUDA with PyTorch on Nvidia Jetson and Python 3.9
At my current customer Proximus I am working on putting Edge AI in use for the vision of "TODO-INSERT-VISION". To achieve this, we had to enable CUDA on the Nvidia Jetson devices that will analyze and infer our sensors.
Run Logic Apps locally with the SQL Storage Provider
For a customer, I have been researching a way to reduce the time it takes us to integrate different sensors on-edge, while still being flexible and configure everything remotely. Next to that, we do not want to spend much time on integrating custom connectors.
Reinforcement Learning with Azure Kubernetes Service (AKS) with Ray RLLib
As any Machine Learning algorithm a compute pool is required to train your model. For Reinforcement Learning, this is exactly the same. Through cloud, we now have access to on-demand compute, such that we only have to pay for what we use. But how do we actually reap the benefits of this? In this post I will explain you how you can setup your own Reinforcement Learning cluster utilizing Azure Kubernetes Service and Spot-Instances!
Unity ML-Agents - Creating a Robot Picker
In my last article about ML-Agents I went through an introduction of what it was and how we can use it. Now I wanted to get some more hands-on experience and found this awesome course on Unity Learn that went in detail on how to create a Hummingbird. After following this course, I wanted to do my own and work on a more industrial focused example.