Tensor Network Learning with PyTorch
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
C++ compressor for multidimensional grid data using the Tucker decomposition
😎 A curated list of tensor decomposition resources for model compression.
Python Tensor Toolbox
Code for NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion
💍 Efficient tensor decomposition-based filter pruning
[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis
Research on compressing BERT with low-rank factorization and knowledge distillation
High-Performance Tucker Factorization on Heterogeneous Platforms (GTA) - TPDS 2019
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries
🧠 Singular values-driven automated filter pruning
Python Quantum Boolean Tensor Networks
Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]
[Patterns 2023] Tracking Online Low-Rank Approximations of Higher-Order Incomplete Streaming Tensors. In Patterns (Cell Press) 2023.
We extend the idea of reducing false negatives by adopting a Tucker decomposition representation to enhance the semantic soundness of latent relations among entities by introducing a relation feature space.
Caffe implementation of tucker tensor decomposition for convolutional layers
This repository is the official code for the paper "Enhanced MRI Brain Tumor Detection and Classification via Topological Data Analysis and Low-Rank Tensor Decomposition" by Serena Grazia De Benedictis, Grazia Gargano and Gaetano Settembre.
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