PGelss / scikit_tt

Related projects: ⓘ

• ion-g-ion / torchTT
  Tensor-Train decomposition in pytorch
  ☆40Updated 2 months ago
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆90Updated last month
• oseledets / ttpy
  Python implementation of the TT-Toolbox
  ☆236Updated 7 months ago
• li012589 / NeuralRG
  Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …
  ☆79Updated 4 years ago
• dolgov / TT-IRT
  Inverse Rosenblatt Transform (Conditional Distribution) + MCMC sampling using Tensor Train approximation
  ☆14Updated 11 months ago
• oseledets / TT-Toolbox
  The git repository for the TT-Toolbox
  ☆189Updated 6 months ago
• savostyanov / ttcross
  Cross interpolation of high-dimensional arrays in tensor train format
  ☆21Updated 7 months ago
• bnuliujing / tn-for-unsup-ml
  ☆23Updated 3 years ago
• GiggleLiu / marburg
  physics meets neural networks
  ☆95Updated 5 years ago
• wangleiphy / tensorgrad
  Differentiable Programming Tensor Networks
  ☆132Updated 3 years ago
• buwantaiji / DominantSparseEigenAD
  Reverse-mode AD of dominant sparse eigensolver using Pytorch.
  ☆38Updated 4 years ago
• LinjianMa / AutoHOOT
  Automatic High-Order Optimization for Tensors
  ☆23Updated last year
• yhtang / FunFact
  Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.
  ☆56Updated 2 years ago
• rfeinman / Torch-ARPACK
  Fast extremal eigensolvers for PyTorch.
  ☆17Updated 3 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆56Updated last year
• jemisjoky / TorchMPS
  PyTorch toolbox for matrix product state models
  ☆136Updated 5 months ago
• eepperly / XTrace
  Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"
  ☆11Updated last year
• RehMoritz / vmc_pde
  Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…
  ☆9Updated 2 years ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆56Updated last week
• tensor4all / xfac
  Cross factorization of tensors
  ☆16Updated this week
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆62Updated 8 months ago
• RSMI-NE / RSMI-NE
  A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
  ☆27Updated 11 months ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆74Updated 3 months ago
• AndreiChertkov / teneva
  A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
  ☆41Updated 2 months ago
• 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
• TensorNetwork / tensornetwork.org
  Source for The Tensor Network open-source review article
  ☆146Updated 3 weeks ago
• VMML / tntorch
  Tensor Network Learning with PyTorch
  ☆9Updated 5 years ago
• NVIDIA / ising-gpu
  GPU-accelerated Monte Carlo simulations of 2D Ising Model
  ☆51Updated 9 months ago
• BallisticLA / parla
  Python Algorithms for Randomized Linear Algebra
  ☆46Updated last year
• dsuess / mpnum
  Matrix Product Representation library for Python
  ☆54Updated 2 years ago