AndreiChertkov / ttopt
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
☆30Updated last year
Related projects: ⓘ
- A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays☆41Updated 2 months ago
- Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…☆24Updated last month
- Cross interpolation of high-dimensional arrays in tensor train format☆21Updated 7 months ago
- Tensor Train Toolbox☆99Updated last week
- Riemannian optimization for quantum technologies☆56Updated last year
- Tensor-Train decomposition in pytorch☆40Updated 2 months ago
- ☆11Updated 3 years ago
- Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.☆56Updated last week
- Probabilistic modelling with tensor networks☆27Updated 4 years ago
- Tensor Network Learning with PyTorch☆9Updated 5 years ago
- Quadrature-based features for kernel approximation☆16Updated 5 years ago
- PyTorch toolbox for matrix product state models☆136Updated 5 months ago
- Inverse Rosenblatt Transform (Conditional Distribution) + MCMC sampling using Tensor Train approximation☆14Updated 11 months ago
- Forward mode laplacian implemented in JAX tracer☆27Updated 2 months ago
- Python implementation of the TT-Toolbox☆236Updated 7 months ago
- ☆23Updated 3 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆23Updated 2 years ago
- orbital MCMC☆10Updated 3 years ago
- Automatic High-Order Optimization for Tensors☆23Updated last year
- A collection of lectures and tutorials☆16Updated 3 months ago
- Cross factorization of tensors☆16Updated this week
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆79Updated 4 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆37Updated 3 years ago
- Matlab package for Tensor decompositions☆15Updated 5 years ago
- Numerically represent quantum states with Restricted Boltzmann Machines☆24Updated 6 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆27Updated 11 months ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 4 years ago
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆74Updated 3 months ago
- ☆15Updated 5 years ago
- ☆19Updated 2 years ago