A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

Runs on Python 3.9 to 3.14 on Windows, Linux and MacOS. We recommend Python 3.10 for the best compatibility with plugins such as SAM autolabeling. Run python example_coco.py and open the printed URL ...

Abstract: We present the Time Series Event Annotator (TSEA), a graphical user interface annotation tool for time series data that enables rapid visualization, labeling, and annotation of signals, ...

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 ...

ReportLab and fpdf2 are the top choices for flexible and efficient Python PDF generation. HTML-to-PDF tools like WeasyPrint and PDFKit simplify web-to-document workflows. Python PDF generator ...

Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. Get the scoop on the new Google Agent Development Kit and ...