TensorLy: Tensor Learning in Python.
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Updated
Jul 2, 2024 - Python
TensorLy: Tensor Learning in Python.
Tensor Network Learning with PyTorch
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
HOTTBOX: Higher Order Tensors ToolBOX.
Tensor Train Toolbox
Tensor decomposition implemented in TensorFlow
TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
Python Package for Tensor Completion Algorithms
Experiments from the article "Tensorial Mixture Models"
Tensor-Train decomposition in pytorch
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.
Metamodeling, sensitivity analysis and visualization using the tensor train format
LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)
Software implementation for tensor-tensor m-product
An implementation of various tensor-based decomposition for NN & RNN parameters
Code for NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion
Reducing the computational overhead of Deep CNNs through parameter pruning and tensor decomposition.
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases
Caffe implementation of tucker tensor decomposition for convolutional layers
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