Many problems in science and engineering can be mathematically modeled using partial differential equations (PDEs), which are essential for fields like computational fluid dynamics (CFD), molecular ...

Python library to train neural networks with a strong focus on hydrological applications. This package has been used extensively in research over the last years and was used in various academic ...

More You may also be interested in a Neural Network implemented from scratch in Python, which was written for my introduction to Neural Networks.

Deep neural networks for graphs (DNNGs) represent an emerging field that studies how the deep learning method can be generalized to graph-structured data. Since graphs are a powerful and flexible tool ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...