TensorLy: Tensor Learning in Python.
-
Updated
Jul 2, 2024 - Python
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
The sample code to study non-negative matrix and tensor factorization.
Python Package for Tensor Completion Algorithms
TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)
An implementation of various tensor-based decomposition for NN & RNN parameters
Python implementation of N-dimensional Tensor Factorization
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.
Deep-HOSeq: Deep Higher-Order Sequence Fusion for Multimodal Sentiment Analysis.
Software implementation for tensor-tensor m-product
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning. AAAI 2021
Transform-Invariant Non-Negative Matrix Factorization
A Tensor Factorization Method for Relation Embedding
Python Quantum Boolean Tensor Networks
Add a description, image, and links to the tensor-factorization topic page so that developers can more easily learn about it.
To associate your repository with the tensor-factorization topic, visit your repo's landing page and select "manage topics."