Tensor Network Learning with PyTorch
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Updated
Apr 10, 2024 - Python
Tensor Network Learning with PyTorch
C++ compressor for multidimensional grid data using the Tucker decomposition
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
Python Tensor Toolbox
Code for NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion
💍 Efficient tensor-based filter pruning
High-Performance Tucker Factorization on Heterogeneous Platforms (GTA) - TPDS 2019
Research on compressing BERT with low-rank factorization and knowledge distillation
Python Quantum Boolean Tensor Networks
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries
Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]
[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis
[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
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