48 results for “topic:tensor-train”
A Julia library for efficient tensor computations and tensor network calculations. ITensors.jl is supported by the Simons Foundation's Flatiron Institute.
Tensor Network Learning with PyTorch
Tensor Train decomposition on TensorFlow
Tensor Train Toolbox
😎 A curated list of tensor decomposition resources for model compression.
No description provided.
Tensor-Train decomposition in pytorch
Tensor network simulations for finite temperature, open quantum system dynamics
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
Matrix Product Representation library for Python
Compression of NMT transformer model with tensor methods
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
LuaTeX extension for graphical tensor notation
[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis
A fully tensorized recurrent neural network using tensor-train decomposition
A Julia package for Matrix-Product State (MPS)-based time-series analysis.
Compressed version of Tacotron 2 using Tensor Train + Waveglow.
Metamodeling, sensitivity analysis and visualization using the tensor train format
An implementation of various tensor-based decomposition for NN & RNN parameters
Collection of basic and advanced Tensor Algebra operations using Matlab and Python.
Python Distributed Non Negative Tensor Networks
[SP 2024] A Novel Recursive Least-Squares Adaptive Method For Streaming Tensor-Train Decomposition With Incomplete Observations. In Elsevier Signal Processing, 2024.
Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation
🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]
A Tensor Network package for Machine Learning and Quantum Computing in Python.
A take on the Tensor Train decomposition
Replace some weights matrices of linear layers of RNNs with matrices in tensor train format. Get better generalization and a lot less parameters.
Python Quantum Boolean Tensor Networks