NumPy is ideal for data analysis, scientific computing, and basic ML tasks. PyTorch excels in deep learning, GPU computing, and automatic gradients. Combining both libraries allows fast data handling ...

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 ...

Abstract: We propose a high-density vertical AND-type (V-AND) flash thin-film transistor (TFT) array enabling accurate vector-matrix multiplication (VMM) operations. Compared to the planar AND-type (P ...

I'm trying to restrict the problem, but for now it seems that with newer numpy versions on x64 certain complex products return different results depending on whether the operands are wrapped in a ...

Abstract: Multiplications are basic operations of neural networks. Therefore, multiplication results are crucial in analyzing the operating process of neural networks. However, the multiplication ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

I got stuck with the following. I read the documentation and study the source code. The later, up to a certain degree. I have a covariance matrix A that I would like to rotate by C. The covariance and ...