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
High-Performance Tucker Factorization on Heterogeneous Platforms (GTA) - TPDS 2019
Research on compressing BERT with low-rank factorization and knowledge distillation
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries
Python Quantum Boolean Tensor Networks
Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]
🧠 Singular values-driven automated filter pruning
[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.
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.
Caffe implementation of tucker tensor decomposition for convolutional layers
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