TensorLy: Tensor Learning in Python.
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Updated
Jul 30, 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.
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
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)
CoFFee recommender system with attention mechanism
Python Quantum Boolean Tensor Networks
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning. AAAI 2021
The code of paper Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion. Zhanqiu Zhang, Jianyu Cai, Jie Wang. NeurIPS 2020.
Transform-Invariant Non-Negative Matrix Factorization
Source code for my diploma thesis at ECE NTUA.
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
A CANDECOMP-PARAFAC tensor decomposition method to solve a Markov Decision Process (MDP) gridworld problem.
This is the implementation of our paper "Recurrent Tensor Factorization for Time-aware Service Recommendation"
Deep-HOSeq: Deep Higher-Order Sequence Fusion for Multimodal Sentiment Analysis.
Implementation of algorithms in "Orthogonal Decomposition of Tensor Trains" (Halaseh, Muller, Robeva)
The sample code to study non-negative matrix and tensor factorization.
SimplE Embedding for Link Prediction in Knowledge Graphs
HOTTBOX: Higher Order Tensors ToolBOX.
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