In this tutorial, we build a complete, production-grade ML experimentation and deployment workflow using MLflow. We start by launching a dedicated MLflow Tracking Server with a structured backend and ...

A software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...

⚡️ Datoviz is an open-source, cross-platform, high-performance rendering library for scientific data visualization making extensive use of the graphics processing unit (GPU). Written by one of the ...

Azely (pronounced "as-elie") is a Python package for calculation and plotting of horizontal coordinates (azimuth and elevation) of astronomical objects at given location and time. While the core ...

Human pose estimation is a cutting-edge computer vision technology that transforms visual data into actionable insights about human movement. By utilizing advanced machine learning models like ...

PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...

Pastas is an open-source Python framework designed for processing, simulation and analysis of hydrogeological time series models. It has built-in tools for statistically analyzing, visualizing and ...