🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
-
Updated
Jun 26, 2024 - Python
🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
Tensor Train Toolbox
Tensor Network Learning with PyTorch
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
Tensor-Train decomposition in pytorch
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.
Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
PRobability Optimizer with TEnsor Sampling (PROTES) is an optimization algorithm based on tensor train decomposition.
A fully tensorized recurrent neural network using tensor-train decomposition
Metamodeling, sensitivity analysis and visualization using the tensor train format
Python Quantum Boolean Tensor Networks
Matrix Product Representation library for Python
A Tensor Network package for Machine Learning and Quantum Computing in Python.
Python Distributed Non Negative Tensor Networks
Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]
Tensor Train decomposition on TensorFlow
Implementation of algorithms in "Orthogonal Decomposition of Tensor Trains" (Halaseh, Muller, Robeva)
Add a description, image, and links to the tensor-train topic page so that developers can more easily learn about it.
To associate your repository with the tensor-train topic, visit your repo's landing page and select "manage topics."