Fast, Accurate and Memory-Efficient Principal Component Analysis For Tera-scale Dataset
-
Updated
Aug 29, 2025 - C++
Fast, Accurate and Memory-Efficient Principal Component Analysis For Tera-scale Dataset
Randomized singular value decomposition (SVD) written in C++14 / Eigen
🍒 cuRBLAS (Randomized BLAS) is a GPU-accelerated library for accelerating AI and HPC applications.
Trabalhos desenvolvidos para a disciplina Sistemas de Recomendação do curso de Ciência da Computação da UFRRJ. Estes trabalhos realizam uma análise de técnicas de recomendação que utilizam filtragem colaborativa.
Analysis of Puerto Rican Senate voting
Anisotropic Tensor Renormalization Group
Fast PCoA based on randomized SVD
Add a description, image, and links to the rsvd topic page so that developers can more easily learn about it.
To associate your repository with the rsvd topic, visit your repo's landing page and select "manage topics."