Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...

Clonal hematopoiesis of indeterminate potential (CHIP) is a known risk factor for coronary artery disease, though its precise role in disease progression continues to emerge. This study leverages ...

Machine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python by Sebastian Raschka; Yuxi (Hayden) Liu; Vahid Mirjalili; Dmytro Dzhulgakov Publication ...

Learn how to use Google Colab for coding, data science, and AI projects with this beginner-friendly guide. Free GPU access ...

Abstract: This innovative practice full paper describes the exploration of the transformative potential of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) in Python ...

Large Language Model (LLM) agents often need to interact with and validate data. Great Expectations is a powerful open-source tool for data quality, but it's not natively accessible to LLM agents.

If you use Excel 40 hours a week (and those are the weeks you are on vacation), welcome to the MrExcel channel. Home to 2,400 free Excel tutorials. Bill "MrExcel" Jelen is the author of 67 books about ...

Abstract: Deep learning has been extensively applied in medical image segmentation, providing significant support for disease diagnosis. However, traditional encoder-decoder networks struggle with ...

Imagine a world where machines don’t just follow instructions but actively make decisions, adapt to new information, and collaborate to solve complex problems. This isn’t science fiction, it’s the ...