Published in Towards Data Science·Nov 16, 2022Kangas: Visualize Multimedia Data at ScaleAn open source library for exploratory data analysis — In machine learning, we accept glue code as a necessary, but largely benign evil. Even the most beginner-friendly computer vision tutorial will include some awkward, customly defined renderImage() method that you will need to simply display an image. Every data science team I’ve worked with has had a collection of…Machine Learning5 min readMachine Learning5 min read
Published in Towards Data Science·Jul 30, 2020PostEra is using machine learning to make a COVID-19 drug—this yearApplying Google Translate-inspired machine learning to chemistry — Disclaimer: I am a maintainer of Cortex, an open source machine learning engineering platform used in some of the projects mentioned below. Recently, a startup called PostEra announced their intention to develop a COVID-19 treatment “within the year” as part of an open source moonshot. Naturally, the announcement generated…Machine Learning4 min readMachine Learning4 min read
Published in Towards Data Science·Jun 12, 2020Catching poachers with machine learningBuilding an ML system to detect poachers in nature preserves — Full disclosure: I am a maintainer of an open source ML platform, Cortex, designed to build projects like the ones discussed below. On any given day, it is estimated that nearly 100 African elephants are killed by poachers. In total, 1,000s of animals are poached everyday worldwide. A large amount…Machine Learning4 min readMachine Learning4 min read
Published in PyTorch·Dec 19, 2019Using PyTorch Models in Production with CortexThis post has been authored by Caleb Kaiser, a team member at Cortex. This year was, among other things, the year PyTorch — only three years old at this point — became the most popular machine learning (ML) framework for researchers. The Pythonic feel of the framework, the gentleness…Machine Learning4 min readMachine Learning4 min read
