TensorLy: Tensor Learning in Python.
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Updated
Jul 2, 2024 - Python
TensorLy: Tensor Learning in 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.
Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis
Visualization of Tensor Decompositions
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.
Load Tensor Decompositions results
Software implementation for tensor-tensor m-product
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.
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 tensor decomposition library for Common Lisp which support sparse tensor.
LibRec: A Leading Java Library for Recommender Systems, see
📙 HOTTBOX: Higher Order Tensors ToolBOX. Tutorials
T-product factorization based method for matrix and tensor completion problems
TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)
KDD2021: Code for MTC algorithm. We use coarse granular data and partially observed data to (low-rank) recover the fine granular data.
Tensor Factorization Based Method for Tensor Completion with Spatio-Temporal Characterization
CoFFee recommender system with attention mechanism
Python Quantum Boolean Tensor Networks
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning. AAAI 2021
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