tensor-factorization
There are 56 repositories under tensor-factorization topic.
guoguibing/librec
LibRec: A Leading Java Library for Recommender Systems, see
tensorly/tensorly
TensorLy: Tensor Learning in Python.
evfro/polara
Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
hottbox/hottbox
HOTTBOX: Higher Order Tensors ToolBOX.
Mehran-k/SimplE
SimplE Embedding for Link Prediction in Knowledge Graphs
huawei-noah/BHT-ARIMA
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
ebigelow/tf-decompose
Tensor decomposition implemented in TensorFlow
MIRALab-USTC/KGE-DURA
The code of paper Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion. Zhanqiu Zhang, Jianyu Cai, Jie Wang. NeurIPS 2020.
bethgelab/decompose
Blind source separation based on the probabilistic tensor factorisation framework
drumichiro/nmf-and-ntf
The sample code to study non-negative matrix and tensor factorization.
hottbox/hottbox-tutorials
:orange_book: HOTTBOX: Higher Order Tensors ToolBOX. Tutorials
andrewssobral/tensor_toolbox
MATLAB Tensor Toolbox (by Tamara Kolda)
datamllab/pyten
Python Package for Tensor Completion Algorithms
NYXFLOWER/TIP
TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)
andrewssobral/TDALAB
A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis
neel-dey/robustNTF
PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction and Functional Statistics to Understand Fixation in Fluorescence Microscopy".
androstj/tensor_rnn
An implementation of various tensor-based decomposition for NN & RNN parameters
MonsterZhZh/DEEP-TENSOR-FACTORIZATION-FOR-HYPERSPECTRAL-IMAGE-CLASSIFICATION
Hyperspectral image classification by exploring deep tensor facorization, published in IGARSS 2018.
VincentLiu3/TF
Python implementation of N-dimensional Tensor Factorization
lanl/pyCP_APR
CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.
sverma88/Deep-HOSeq--ICDM-2020
Deep-HOSeq: Deep Higher-Order Sequence Fusion for Multimodal Sentiment Analysis.
UriaMorP/mprod_package
Software implementation for tensor-tensor m-product
chaomai/ParaTen
Tensor on Spark.
luoyuanlab/panther
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning. AAAI 2021
thanhtbt/tensor_tracking_survey
[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis
masatoi/cl-tensor-decomposition
A tensor decomposition library for Common Lisp which support sparse tensor.
aafshar/COPA
Code accompanying our CIKM paper: "copa: constrained parafac2 for sparse & large datasets"
andrewssobral/nway
N-way Toolbox for MATLAB (by Rasmus Bro)
emdgroup/tnmf
Transform-Invariant Non-Negative Matrix Factorization
gy910210/tensor-factorization-for-relation-embedding
A Tensor Factorization Method for Relation Embedding
lanl/pyQBTNs
Python Quantum Boolean Tensor Networks
lanl/T-ELF
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.
NamyongPark/DBTF
Fast and Scalable Method for Distributed Boolean Tensor Factorization (ICDE'17 & VLDBJ'19)
sejoonoh/GTA-Tensor
High-Performance Tucker Factorization on Heterogeneous Platforms (GTA) - TPDS 2019
sejoonoh/P-Tucker
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries
SmartTensors/NTFk.jl
Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning