TensorLy: Tensor Learning in Python.
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Updated
Jun 9, 2024 - Python
TensorLy: Tensor Learning in Python.
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
SimplE Embedding for Link Prediction in Knowledge Graphs
HOTTBOX: Higher Order Tensors ToolBOX.
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.
TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)
The sample code to study non-negative matrix and tensor factorization.
Tensor decomposition implemented in TensorFlow
Blind source separation based on the probabilistic tensor factorisation framework
Python Package for Tensor Completion Algorithms
The code of paper Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion. Zhanqiu Zhang, Jianyu Cai, Jie Wang. NeurIPS 2020.
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.
Software implementation for tensor-tensor m-product
An implementation of various tensor-based decomposition for NN & RNN parameters
Deep-HOSeq: Deep Higher-Order Sequence Fusion for Multimodal Sentiment Analysis.
CoFFee recommender system with attention mechanism
Transform-Invariant Non-Negative Matrix Factorization
This is the implementation of our paper "Recurrent Tensor Factorization for Time-aware Service Recommendation"
Python Quantum Boolean Tensor Networks
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