oseledets / ttpy
Python implementation of the TT-Toolbox
☆240Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for ttpy
- The git repository for the TT-Toolbox☆193Updated 8 months ago
- Tensor Train decomposition on TensorFlow☆222Updated 3 years ago
- Tensor Train Toolbox☆105Updated 2 weeks ago
- Tensor Network Learning with PyTorch☆284Updated 5 months ago
- A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays☆45Updated 4 months ago
- ☆137Updated 6 years ago
- ☆15Updated 6 years ago
- Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle…☆31Updated last year
- Tensor decomposition implemented in TensorFlow☆63Updated 5 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆23Updated 2 years ago
- Tensor-Train decomposition in pytorch☆46Updated last week
- PyTorch toolbox for matrix product state models☆139Updated 7 months ago
- TensorNet (TensorFlow implementation)☆210Updated 7 years ago
- Inverse Rosenblatt Transform (Conditional Distribution) + MCMC sampling using Tensor Train approximation☆14Updated last year
- RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…☆85Updated 2 years ago
- Randomized Dimension Reduction Library☆116Updated 3 years ago
- Cross interpolation of high-dimensional arrays in tensor train format☆22Updated 9 months ago
- Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605…☆150Updated 5 years ago
- ☆61Updated 4 years ago
- ☆26Updated 6 years ago
- Quadrature-based features for kernel approximation☆16Updated 6 years ago
- Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…☆30Updated 3 weeks ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆16Updated 5 years ago
- Restricted Boltzmann Machines in Julia☆15Updated 7 years ago
- Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.☆57Updated 2 years ago
- Numerical integration of Ito or Stratonovich SDEs☆157Updated last year
- Proximal optimization in pure python☆113Updated 2 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆90Updated last year
- A PyTorch implementation of L-BFGS.☆586Updated last year