For this simple vectorization, jax.jit only uses 40% CPU on 8 core machine, and uses 15% CPU on 32 core machine. The input array x has length 5 million. If I simply implement it in torch, numba, or ...
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: Acoustic vector sensors (AVSs) can be employed to improve low-frequency performance of the sensor array against aperture limitation, due to their configurations that allow for the ...
One of the long-standing bottlenecks for researchers and data scientists is the inherent limitation of the tools they use for numerical computation. NumPy, the go-to library for numerical operations ...
Posts from this topic will be added to your daily email digest and your homepage feed. Some experimental features are in the works for rotating vector images, producing sound effects from text ...
what is going on guys welcome back this video today is going to be an advanced numpy crash course which means we're going to go more into details and advanced aspects of the numpy library and we're ...