{"repo":"lanl/T-ELF","free":true,"listed":false,"github":"https://github.com/lanl/T-ELF","clone":"git clone https://github.com/lanl/T-ELF.git","description":"Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.","language":"Python","stars":26,"topics":["blind-source-separation","dimensionality-reduction","feature-extraction","gpu","high-performance-computing","hpc","latent-variables","machine-learning","matrix","matrix-factorization"],"license":null,"category":"machine-learning","readme_excerpt":"Tensor Extraction of Latent Features (T-ELF) :information source: Documentation   :orange book: Examples   :page with curl: Publications   :link: Website T-ELF is one of the machine learning software packages developed as part of the R&D 100 winning SmartTensors AI project at Los Alamos National Laboratory (LANL). T-ELF presents an array of customizable software solutions crafted for analysis of datasets. Acting as a comprehensive toolbox, T-ELF specializes in data pre-processing, extraction of latent features, and structuring results to facilitate informed decision-making. Leveraging high-performance computing and cutting-edge GPU architectures, our toolbox is optimized for analyzing large datasets from diverse set of problems. Central to T-ELF's core capabilities lie non-negative matrix and tensor factorization solutions for discovering multi-faceted hidden details in data, featuring automated model determination facilitating the estimation of latent factors or rank. This pivotal functionality ensures precise data modeling and the extraction of concealed patterns. Additionally, our software suite incorporates cutting-edge modules for both pre-processing and post-processing of data, tailored for diverse tasks including text mining, Natural Language Processing, and robust tools for matrix and tensor analysis and construction. T-ELF's adaptability spans across a multitude of disciplines, positioning it as a robust AI and data analytics solution. Its proven effic","default_branch":null,"files":null,"tree":[],"storefront":"/r/lanl","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/lanl/T-ELF/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}