Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Python, as a versatile and beginner-friendly language, is commonly used by developers and learners to tackle these challenges due to its readability, extensive standard library, and built-in ...

Graph Neural Networks (GNNs ... The team proposed a Python-based library named XGCN, aiming at helping users quickly build and run large-scale GNNs in a single-machine environment.

During the 18th century the denizens of the Prussian city of Königsberg wrestled with a puzzle: How could they find a walking path through the city that crossed each of its storied seven bridges ...

It enables optimization, definition, and evaluation of mathematical expressions and ... library that can be integrated with other Python libraries, such as NumPy. The library can create computational ...

Keras provides you with the tools needed to construct models, visualize graphs ... Python library specifically developed for machine learning and deep libraries. With this tool, you will achieve ...

Created by the Google Brain team and initially released to the public in 2015, TensorFlow is an open source library for ... are themselves Python applications. The actual math operations, however ...

NumPy is mostly utilized by data scientists to perform a variety of mathematical ... with other Python libraries, such as NumPy. The library can create computational graphs that can be modified ...