Source code for my diploma thesis at ECE NTUA.
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Updated
Jun 8, 2021 - Python
Source code for my diploma thesis at ECE NTUA.
CoFFee recommender system with attention mechanism
A CANDECOMP-PARAFAC tensor decomposition method to solve a Markov Decision Process (MDP) gridworld problem.
Tensor Decomposition Library
This is the implementation of our paper "Recurrent Tensor Factorization for Time-aware Service Recommendation"
Implementation of algorithms in "Orthogonal Decomposition of Tensor Trains" (Halaseh, Muller, Robeva)
Transform-Invariant Non-Negative Matrix Factorization
A Tensor Factorization Method for Relation Embedding
Python Quantum Boolean Tensor Networks
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning. AAAI 2021
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.
Deep-HOSeq: Deep Higher-Order Sequence Fusion for Multimodal Sentiment Analysis.
Software implementation for tensor-tensor m-product
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.
Python implementation of N-dimensional Tensor Factorization
An implementation of various tensor-based decomposition for NN & RNN parameters
TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)
Python Package for Tensor Completion Algorithms
The sample code to study non-negative matrix and tensor factorization.
Blind source separation based on the probabilistic tensor factorisation framework
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