tensor-factorization

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guoguibing / librec

LibRec: A Leading Java Library for Recommender Systems, see

java matrix collaborative-filtering matrix-factorization systems sparse recommender tensor-factorization collaborative tensor factorization filtering recommender-systems recommendation-algorithms probabilistic-graphical-models

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Java

👁 tensorly

tensorly / tensorly

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TensorLy: Tensor Learning in Python.

python machine-learning mxnet tensorflow numpy regression pytorch decomposition tensor-factorization tensor tensor-algebra tensorly tensor-learning tensor-decomposition cupy tensor-methods jax tensor-regression

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Python

evfro / polara

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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.

evaluation collaborative-filtering matrix-factorization recommender-system tensor-factorization top-n-recommendations

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Python

hottbox / hottbox

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HOTTBOX: Higher Order Tensors ToolBOX.

data toolbox tensor-factorization tensor-algebra tensor-decomposition tensor-analysis

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Python

Mehran-k / SimplE

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SimplE Embedding for Link Prediction in Knowledge Graphs

tensorflow knowledge-graph knowledgebase tensor-factorization knowledge-base knowledge-graph-completion relational-learning link-prediction knowledge-base-completion knowledge-graph-embeddings statistical-relational-learning starai

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Python

huawei-noah / BHT-ARIMA

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Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

time-series tensor-factorization tensor-decomposition arima-forecasting

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Python

ebigelow / tf-decompose

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Tensor decomposition implemented in TensorFlow

machine-learning tensorflow machine-learning-algorithms tensor-factorization tensor-decomposition cp-decomposition

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Python

MIRALab-USTC / KGE-DURA

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The code of paper Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion. Zhanqiu Zhang, Jianyu Cai, Jie Wang. NeurIPS 2020.

knowledge-graph tensor-factorization knowledge-graph-completion knowledge-graph-embedding kge-dura

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Python

bethgelab / decompose

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Blind source separation based on the probabilistic tensor factorisation framework

tensorflow tensor-factorization decompose blind-source-separation

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Python

andrewssobral / tensor_toolbox

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MATLAB Tensor Toolbox (by Tamara Kolda)

matlab tensor-factorization tensors matlab-toolbox tensor-decomposition

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MATLAB

hottbox / hottbox-tutorials

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📙 HOTTBOX: Higher Order Tensors ToolBOX. Tutorials

tutorials tensor-factorization tensor-algebra tensor-decomposition tensor-analysis

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Jupyter Notebook

drumichiro / nmf-and-ntf

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The sample code to study non-negative matrix and tensor factorization.

python collaborative-filtering matrix-factorization tensor-factorization scratch-implementation

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Python

datamllab / pyten

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Python Package for Tensor Completion Algorithms

tensor-factorization tensor tensor-decomposition tensor-completion

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Python

thanhtbt / tensor_tracking_survey

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[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis

adaptive-learning tensor-factorization missing-data online-learning tensor-decomposition cp-decomposition tensor-networks tensor-train parafac hosvd tensor-analysis tucker-decomposition baysian-inference streaming-data-processing outliers-detection tensor-ring-decomposition tsvd block-term-decomposition

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👁 TIP

NYXFLOWER / TIP

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TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Eﬀect Prediction (GRL@NeurIPS, 2019)

deep-learning pytorch protein knowledge-graph drug tensor-factorization link-prediction biography gcn side-effects graph-embedding nerual-network graph-representation-learning pytorch-implementation graph-neural-network polypharmacy multi-relational

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Python

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.

machine-learning hpc gpu matrix matrix-factorization feature-extraction high-performance-computing semi-supervised-learning dimensionality-reduction tensor-factorization tensors unsupervised-learning matrix-completion tensor-decomposition latent-variables blind-source-separation non-negative-matrix-factorization text-preprocessing pattern-extraction

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Python

neel-dey / robustNTF

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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".

pytorch tensor-factorization robust-optimization nonnegativity-constraints non-negative-matrix-factorization parafac beta-divergence majorize-minimization l21-norm non-negative-tensor-factorization

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Jupyter Notebook

andrewssobral / TDALAB

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A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis

tensor-factorization multidimensional-arrays tensor-decomposition tensor-toolbox

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MATLAB

lanl / pyCP_APR

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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.

gpu numpy pytorch cybersecurity sparse tensor-factorization cpd tensors tensor-decomposition poisson-distribution latent-features anomaly-detection dense sparse-tensors non-negative-tensor-factorization candecomp-parafac canonical-polyadic dense-tensors

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Python

androstj / tensor_rnn

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An implementation of various tensor-based decomposition for NN & RNN parameters

machine-learning deep-learning neural-network pytorch recurrent-neural-networks tensor-factorization tensor-decomposition cp-decomposition tucker

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Python

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