tensor-factorization

There are 7 repositories under tensor-factorization topic.

guoguibing / librec
LibRec: A Leading Java Library for Recommender Systems, see
recommender-systems recommendation-algorithms collaborative-filtering matrix-factorization tensor-factorization probabilistic-graphical-models recommender systems factorization matrix tensor collaborative filtering sparse java
Language:Java 3219
tensorly
tensorly / tensorly
TensorLy: Tensor Learning in Python.
machine-learning tensor decomposition tensor-algebra tensorly tensor-learning python tensor-methods pytorch mxnet jax tensorflow cupy numpy tensor-decomposition tensor-factorization tensor-regression regression
Language:Python 1494
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.
collaborative-filtering evaluation matrix-factorization recommender-system tensor-factorization top-n-recommendations
Language:Python 248
hottbox / hottbox
HOTTBOX: Higher Order Tensors ToolBOX.
toolbox tensor-decomposition tensor-factorization tensor-algebra tensor-analysis data
Language:Python 170
Mehran-k / SimplE
SimplE Embedding for Link Prediction in Knowledge Graphs
knowledge-graph knowledgebase link-prediction knowledge-graph-completion knowledge-graph-embeddings relational-learning tensor-factorization tensorflow knowledge-base knowledge-base-completion statistical-relational-learning starai
Language:Python 142
huawei-noah / BHT-ARIMA
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
time-series arima-forecasting tensor-decomposition tensor-factorization
Language:Python 97
ebigelow / tf-decompose
Tensor decomposition implemented in TensorFlow
cp-decomposition machine-learning machine-learning-algorithms tensor-decomposition tensor-factorization tensorflow
Language:Python 63
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.
tensor-factorization knowledge-graph-completion knowledge-graph knowledge-graph-embedding kge-dura
Language:Python 50
bethgelab / decompose
Blind source separation based on the probabilistic tensor factorisation framework
blind-source-separation tensor-factorization tensorflow decompose
Language:Python 43
andrewssobral / tensor_toolbox
MATLAB Tensor Toolbox (by Tamara Kolda)
tensors tensor-decomposition tensor-factorization matlab matlab-toolbox
Language:MATLAB 37
drumichiro / nmf-and-ntf
The sample code to study non-negative matrix and tensor factorization.
collaborative-filtering matrix-factorization python scratch-implementation tensor-factorization
Language:Python 37
hottbox / hottbox-tutorials
:orange_book: HOTTBOX: Higher Order Tensors ToolBOX. Tutorials
tensor-decomposition tensor-factorization tensor-algebra tensor-analysis tutorials
Language:Jupyter Notebook 37
datamllab / pyten
Python Package for Tensor Completion Algorithms
tensor tensor-completion tensor-factorization tensor-decomposition
Language:Python 29
TIP
NYXFLOWER / TIP
TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Eﬀect Prediction (GRL@NeurIPS, 2019)
gcn side-effects pytorch-implementation polypharmacy protein drug biography multi-relational link-prediction graph-embedding graph-representation-learning deep-learning nerual-network knowledge-graph graph-neural-network tensor-factorization pytorch
Language:Python 23
andrewssobral / TDALAB
A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis
tensor-decomposition tensor-factorization multidimensional-arrays tensor-toolbox
Language:MATLAB 19
androstj / tensor_rnn
An implementation of various tensor-based decomposition for NN & RNN parameters
deep-learning recurrent-neural-networks tensor-decomposition tensor-factorization neural-network pytorch machine-learning cp-decomposition tucker
Language:Python 18
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".
robust-optimization tensor-factorization beta-divergence nonnegativity-constraints non-negative-matrix-factorization l21-norm pytorch non-negative-tensor-factorization parafac majorize-minimization
Language:Jupyter Notebook 18
MonsterZhZh / DEEP-TENSOR-FACTORIZATION-FOR-HYPERSPECTRAL-IMAGE-CLASSIFICATION
Hyperspectral image classification by exploring deep tensor facorization, published in IGARSS 2018.
hyperspectral-image-classification tensor-factorization
Language:MATLAB 16
VincentLiu3 / TF
Python implementation of N-dimensional Tensor Factorization
tensor-factorization recommendation-system
Language:Python 16
sverma88 / Deep-HOSeq--ICDM-2020
Deep-HOSeq: Deep Higher-Order Sequence Fusion for Multimodal Sentiment Analysis.
tensor multimodal-fusion tensor-factorization convolutional-neural-networks
Language:Python 11
UriaMorP / mprod_package
Software implementation for tensor-tensor m-product
data-science linear-algebra multiway numerical-analysis pca python scientific-computing spatio-temporal tca tcam tensor tensor-algebra tensor-decomposition tensor-factorization tensor-product time-series-analysis
Language:Python 11
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.
cpd tensors tensor-factorization anomaly-detection cybersecurity poisson-distribution non-negative-tensor-factorization pytorch gpu canonical-polyadic candecomp-parafac tensor-decomposition numpy sparse-tensors dense-tensors sparse dense latent-features
Language:Python 10
chaomai / ParaTen
Tensor on Spark.
scala tensor cp-decomposition spark tensor-decomposition type-level-programming tensor-factorization multidimensional-arrays
Language:Scala 8
luoyuanlab / panther
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning. AAAI 2021
pytorch machine-learning tensor-factorization genomics cancer
Language:Python 8
masatoi / cl-tensor-decomposition
A tensor decomposition library for Common Lisp which support sparse tensor.
common-lisp machine-learning tensor-decomposition tensor-factorization matrix-decompositions matrix-factorization
Language:Common Lisp 7
NamyongPark / DBTF
Fast and Scalable Method for Distributed Boolean Tensor Factorization (ICDE'17 & VLDBJ'19)
tensor tensor-factorization boolean-tensor boolean-cp-factorization boolean-tucker-factorization distributed-algorithm apache-spark
Language:Scala 7
sejoonoh / GTA-Tensor
High-Performance Tucker Factorization on Heterogeneous Platforms (GTA) - TPDS 2019
tensor openmp opencl tucker-decomposition tensor-factorization hpc tpds gpu heterogeneous-parallel-programming
Language:C++ 7
aafshar / COPA
Code accompanying our CIKM paper: "copa: constrained parafac2 for sparse & large datasets"
tensor tensor-factorization tensor-decomposition parafac2 matlab healthcare phenotyping
Language:MATLAB 6
andrewssobral / nway
N-way Toolbox for MATLAB (by Rasmus Bro)
tensors tensor-decomposition tensor-factorization matlab matlab-toolbox
Language:MATLAB 6
emdgroup / tnmf
Transform-Invariant Non-Negative Matrix Factorization
python machine-learning data-science matrix-factorization tensor-factorization sparse-coding source-separation invariant-features
Language:Python 6
gy910210 / tensor-factorization-for-relation-embedding
A Tensor Factorization Method for Relation Embedding
relation-embedding tensor-factorization
Language:Python 6
lanl / pyQBTNs
Python Quantum Boolean Tensor Networks
quantum-computing boolean-tensor tensor-decomposition quantum-annealing tensor-factorization matrix-factorization tensor-train tucker-decomposition latent-factors numpy d-wave boolean-tucker-factorization boolean-matrices factor-boolean-tensors python hierarchical-tucker
Language:Python 6
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.
blind-source-separation dimensionality-reduction feature-extraction gpu high-performance-computing hpc latent-variables machine-learning matrix matrix-factorization non-negative-matrix-factorization pattern-extraction semi-supervised-learning tensor-decomposition tensor-factorization tensors text-preprocessing unsupervised-learning matrix-completion
Language:Python 6
sejoonoh / P-Tucker
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries
tensor tensor-factorization tucker-decomposition openmp icde parallel-computing
Language:C++ 6
thanhtbt / tensor_tracking_survey
[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis
streaming-data-processing tensor-decomposition baysian-inference cp-decomposition hosvd missing-data outliers-detection tensor-train tsvd parafac adaptive-learning online-learning tensor-analysis tensor-factorization tensor-networks tensor-ring-decomposition block-term-decomposition tucker-decomposition
6
ycq091044 / MTC
KDD2021: Code for MTC algorithm. We use coarse granular data and partially observed data to (low-rank) recover the fine granular data.
multiresolution-analysis tensor-completion tensor-decomposition tensor-factorization
Language:Jupyter Notebook 5