LibRec: A Leading Java Library for Recommender Systems, see

TensorLy: Tensor Learning in Python.

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: Higher Order Tensors ToolBOX.

SimplE Embedding for Link Prediction in Knowledge Graphs

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

Tensor decomposition implemented in TensorFlow

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

Blind source separation based on the probabilistic tensor factorisation framework

MATLAB Tensor Toolbox (by Tamara Kolda)

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

📙 HOTTBOX: Higher Order Tensors ToolBOX. Tutorials

Python Package for Tensor Completion Algorithms

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

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".

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

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

Hyperspectral image classification by exploring deep tensor facorization, published in IGARSS 2018.

Python implementation of N-dimensional Tensor Factorization

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.