Londogard Blog

This spring my wife and I went ahead and bought a (used) EV, Skoda Enyaq iV80 2022.

One day I asked a chatbot how easy it would be to make my Balboa hot tub smart.

One day our baby monitor stopped producing sound.

This post is not only be written by a real person but also hopefull short and to the point!

To run your own container in AWS Sagemaker (Training Job) it’s required to have mamba.

I’ve been using pixi professionally in my team for a year now, and it has been a pleasure from the start.

ℹ️ This is a really small piece of “nothing”, but it might save you (and future me) some time!

When working with code, or anything really, you always apply trade-offs.

Transformers.js is an ambitious project by HuggingFace to bring transformers to Web/JS and simplify inference on-device, running onnxruntime-web under-the-hood.

Transformers.js is an ambitious project by HuggingFace to bring transformers to Web/JS and simplify inference on-device, running onnxruntime-web under-the-hood.

There has been a lot of buss around DeepSeek (R1) and their Open Source mission, and lately they released their full stack to train State-of-the-Art LLM’s.

This post will be short, I recently built a WASM app that allows you to 1) convert between Parquet/CSV/JSON and 2) explore the data using Marimos built-in tooling.

ImportCollector It’s simple and requires 0 dependencies outside of the standard library.

MLFlow Models MLFlow is a popular tool to track your experiment to compare metrics, parameters and much more.

Gradio Client Most people in the AI-sphere (Deep Learning, LLM’s) are aware of the Gradio project (now under the huggingface umbrella).

Marimo Marimo is the “new” kid on the block.

Merry Christmas, Happy Holidays and a Good New Year!

Managing dependencies and environments across multiple platforms can be a nightmare.

This blog was supposed to be more in-depth but my enthusiasm was drastically cut and I felt like splitting it up into multiple smaller one, whereas daft one is already uploaded.

I know I’ve been praising polars a lot lately, and I’m still in love. polars will be my continued go-to library for Data Analysis of Tabular data, and when building ETL (data pipelines) in 99% of the cases.