Python

Spox provides an efficient and Pythonic way to define ONNX graphs.

TabularDelta reports table comparisons in different formats for various types of tables and use cases.

Introduction into ONNX, an open-source specification that allows us to persist the state of a trained model as well as its inference logic.

Estimating Conditional Average Treatment Effects with the metalearners library

We show how we ship conda environments into production using the pixi package manager. To do that, we introduce a tool called pixi-pack.

The new glum release introduces a formula interface that simplifies preprocessing and offers various enhancements for categorical and mixed sparse and dense data.

pytest-action is a GitHub Action that allows you to run pytest and output GitHub Job Summaries. It simplifies your workflow by integrating pytest-md and pytest-emoji.

Tired of writing complicated Polars expressions? polarIFy automatically translates your easy-to-read Python methods into efficient Polars expressions!

In this post we discuss how we improved the runtime performance of a text mining step in a machine learning pipeline by a factor of 12.

We present an open source library to shrink pickled scikit-learn and lightgbm models. We will provide insights of how pickling ML models work and how to improve the disk representation. With this approach, we can reduce the deployment size of machine learning applications up to 6x.

When running the integration test suite of a data validation tool against a Snowflake instance, we saw a massive slow-down compared to Postgres or MS SQL.

Developing code involves several tasks that are simple yet repetitive. This includes styling your code (we use `black`) and checking for common issues. These tasks can be easily automated.