A Tensor Network package for Machine Learning and Quantum Computing in Python.
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Updated
Mar 20, 2022 - Python
A Tensor Network package for Machine Learning and Quantum Computing in Python.
🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
Visualization of Tensor Decompositions
LuaTeX extension for graphical tensor notation
Parabolic PDE resolution with Tensor Networks using Backward-Forward Stochastic Differential Equations
Implementation of algorithms in "Orthogonal Decomposition of Tensor Trains" (Halaseh, Muller, Robeva)
Numerical experiments for Optima-TT method from teneva python package. This method finds items which relate to min and max elements of the tensor in the tensor train (TT) format.
Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.
[EUSIPCO 2022] "Robust Tensor Tracking With Missing Data Under Tensor-Train Format". In 30th European Signal Processing Conference, 2022.
PRobability Optimizer with TEnsor Sampling (PROTES) is an optimization algorithm based on tensor train decomposition.
A short look at tensor-train decomposition with the Xerus library
A take on the Tensor Train decomposition
Python Quantum Boolean Tensor Networks
[EUSIPCO 2020] "Adaptive Algorithms for Tensor Train Decomposition of Streaming Tensors". In 28th European Signal Processing Conference, 2020.
😎 A curated list of tensor decomposition resources for model compression.
Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]
Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
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.
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