A memory efficient finite-volume 6D Vlasov-Poisson code based on low-rank tensor approximations
-
Updated
May 18, 2024 - C++
A memory efficient finite-volume 6D Vlasov-Poisson code based on low-rank tensor approximations
Vector space modeling of MovieLens & IMDB movie data
This repository is part of a research work and introduces a new algorithm based on multilinear algebra (tensor decomposition) for feature extraction, which later is plugged into a CNN to perform classification.
Tensor Granger Causality with t-Product Algorithm
Anastasiya Kuzmich Final MRes Project
This is an advanced package for TDbasedUFE
Pipeline for simulating CCI dynamics across time
Algorithms for tensor decomposition in GMM, LDA topic models etc.
Python code used in NIPS 2017 paper: Fitting Low-Rank Tensors in Constant Time, by K. Hayashi and Y. Yoshida
Evaluation runner for RESCAL-based matchmaking
Naturalistic fMRI brain network decomposition
A short look at tensor-train decomposition with the Xerus library
Tucker decomposition for image hashing problem
A CANDECOMP-PARAFAC tensor decomposition method to solve a Markov Decision Process (MDP) gridworld problem.
Learn from TensorFlow中文社区: http://www.tensorfly.cn/tfdoc/get_started/introduction.html
🎓 International Joint Conference on Neural Networks (IJCNN) 14-19 July 2019 || Materials for the tutorial "Tensor Decompositions for Big Data Analytics: Trends and Applications"
LIANA x Tensor-cell2cell Protocols
Toolbox allows to test and compare methods for Image Completion and Data Completion problems in Matlab. Presented methods use various Nonnegative Matrix Factorization and Tensor decomposition algorithms. It was based on research performed during realization of PhD.
Add a description, image, and links to the tensor-decomposition topic page so that developers can more easily learn about it.
To associate your repository with the tensor-decomposition topic, visit your repo's landing page and select "manage topics."