In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

geovoronoi helps generating Voronoi regions for geographic data, for example coordinates of public universities in a certain country. This in turn may be used to estimate some kind of "coverage". The ...

The mpl-scatter-density mini-package provides functionality to make it easy to make your own scatter density maps, both for interactive and non-interactive use. Fast. The following animation shows ...

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 ...

In this article, I’ll walk you through a practical project using Pytrends 📈, a Python library that connects to Google Trends. We'll combine it with popular data science tools like Matplotlib and ...

Geothermal heat flow is inferred from the gradient of temperature values in boreholes or short-penetration probe measurements. Such measurements are expensive and logistically challenging in remote ...

Non-invasive imaging techniques such as Cardiovascular Magnetic Resonance (CMR) have become prominent in research and medical practice in the cardiovascular field 1. CMR is accepted as the gold ...

Sea wave monitoring is key in many applications in oceanography such as the validation of weather and wave models. Conventional in situ solutions are based on moored buoys whose measurements are often ...

High-throughput sequencing produces an extraordinary amount of genomic data that is organized into a number of high-dimension datasets. Accordingly, visualization of genomic data has become essential ...

This blog is quite easy in math. But it is still interesting. The L1 and L2 regularization are widely used methods to control the model complexity and restrict over-fitting. There are some interesting ...