A memory efficient finite-volume 6D Vlasov-Poisson code based on low-rank tensor approximations
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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
A CANDECOMP-PARAFAC tensor decomposition method to solve a Markov Decision Process (MDP) gridworld problem.
Matrix&Tensor decomposition
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.
My research on tensor decompositions and their applications to machine learning.
Tensor Granger Causality with t-Product Algorithm
Anastasiya Kuzmich Final MRes Project
This is an advanced package for TDbasedUFE
Extension for the CP decomposition algorithm.
Pipeline for simulating CCI dynamics across time
Code for our preprint paper titled "Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks"
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"
Physics-informed Machine Learning
A tensor decomposition library for Common Lisp which support sparse tensor.
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.
[ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)
Scalable and Robust Tensor Decomposition of Spontaneous Stereotactic EEG Data
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