Tensor Network Learning with PyTorch
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Updated
May 23, 2024 - Python
Tensor Network Learning with PyTorch
C++ compressor for multidimensional grid data using the Tucker decomposition
Python Tensor Toolbox
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
High-Performance Tucker Factorization on Heterogeneous Platforms (GTA) - TPDS 2019
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
Caffe implementation of tucker tensor decomposition for convolutional layers
Python Quantum Boolean Tensor Networks
Research on compressing BERT with low-rank factorization and knowledge distillation
[Patterns 2023] Tracking Online Low-Rank Approximations of Higher-Order Incomplete Streaming Tensors. In Patterns (Cell Press) 2023.
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries
Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]
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.
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