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

Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

Accelerating matrix multiplication is crucial to achieve high performance in many application domains, including neural networks, graph analytics, and scientific computing. These applications process ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

Mentor-Mentee Expectation Comparison The Mentor-Mentee Expectation Comparison is a low-stakes inventory to help mentor-mentee pairs determine who is responsible for specific expectations. This version ...

Contribute to cipher-rp/C-Program-to-Generate-Multiplication-Table development by creating an account on GitHub.