Generate AI Avatars yourself with Stable Diffusion 2.1 and Dreambooth
Learn how to generate your own unique avatars with Stable Diffusion and Dreambooth
Machine Learning
30 posts
Automatically splitting an Audio File into smaller chunks based on silence
Learn how you can split an Audio File into smaller chunks to create an AI dataset
Train an Image Matting Model with Azure ML Custom Containers
Learn how you can train your own model through Azure Machine Learning and custom containers
Machine Teaching through Azure Project Bonsai - Series Overview
Autonomous Platforms are being deployed all around us, optimizing our daily processes and improving their efficiency and stability without the need of human intelligence. They learn by themself, iteratively improving themselves and staying ahead of the competition. One of the biggest hurdles for Autonomous Platforms to be deployed is the...
Azure Project Bonsai - Physical CartPole Project
In my previous post I revisited the Bonsai platform. Now it's time to actually start preparing to put it into production! (this will become more clearer over time 😉) To start off with a spoiler: Project Bonsai - It's impressive! 😎 Everything in this article is the result of around 100 hours...
The Azure Project Bonsai Platform Revisited
It has been almost an entire year ago since I have visited the Bonsai platform that I covered in my previous post. Since then a lot changed on the platform, so the time has come to revisit it and see in more detail what exactly changed (on the surface of...
Gradually adopting Autonomous Systems in Production
Reinforcement Learning is something I have been covering a while now! Lately, I have seen this space growing tremendously but keep on seeing the same issue arising each time: "How can I as a company with an existing infrastructure / applications (= brownfield) adopt Reinfocement Learning?" To answer this question, I would...
Analyzing ML/RL Model Performance with Azure Synapse Analytics Spark Pools
I have been following Azure Synapse Analytics since it was still in development and the mock-ups were not finished yet. The vision that Azure Synapse Analytics brings is simply amazing, bringing an End-to-End analytics platform that seamlessly mixes SQL Dedicated, SQL On-Demand, and Spark to prepare, analyze and publish your...
Machine Learning Operations - MLOps explained
MLOps is the continuation of DevOps, extended for Machine Learning. It allows data scientists, data engineers, application developers, and the operations team to collaborate, reducing the time from model creation towards first production deployment. "Putting Machine Learning models in production is easy when you have just a few, however when...