A CANDECOMP-PARAFAC tensor decomposition method to solve a Markov Decision Process (MDP) gridworld problem.
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Updated
Mar 2, 2021 - Python
A CANDECOMP-PARAFAC tensor decomposition method to solve a Markov Decision Process (MDP) gridworld problem.
Implementation of algorithms in "Orthogonal Decomposition of Tensor Trains" (Halaseh, Muller, Robeva)
Tensor Decomposition Library
Source code for my diploma thesis at ECE NTUA.
A Tensor Factorization Method for Relation Embedding
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning. AAAI 2021
This is the implementation of our paper "Recurrent Tensor Factorization for Time-aware Service Recommendation"
Python Quantum Boolean Tensor Networks
Transform-Invariant Non-Negative Matrix 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.
CoFFee recommender system with attention mechanism
Deep-HOSeq: Deep Higher-Order Sequence Fusion for Multimodal Sentiment Analysis.
Software implementation for tensor-tensor m-product
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.
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
Python Package for Tensor Completion Algorithms
Tensor decomposition implemented in TensorFlow
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