There are 2 repositories under tensor-train topic.
A Julia library for efficient tensor computations and tensor network calculations
Tensor Network Learning with PyTorch
Tensor network simulations for finite temperature, open quantum system dynamics
Compression of NMT transformer model with tensor methods
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
A fully tensorized recurrent neural network using tensor-train decomposition
😎 A curated list of tensor decomposition resources for model compression.
Metamodeling, sensitivity analysis and visualization using the tensor train format
Compressed version of Tacotron 2 using Tensor Train + Waveglow.
An implementation of various tensor-based decomposition for NN & RNN parameters
Collection of basic and advanced Tensor Algebra operations using Matlab and Python.
Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation
[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis
A Tensor Network package for Machine Learning and Quantum Computing in Python.
🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
Replace some weights matrices of linear layers of RNNs with matrices in tensor train format. Get better generalization and a lot less parameters.
Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]
Implementation of algorithms in "Orthogonal Decomposition of Tensor Trains" (Halaseh, Muller, Robeva)
Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.
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.
Parabolic PDE resolution with Tensor Networks using Backward-Forward Stochastic Differential Equations