Alternatives and similar repositories for torchTT

Users that are interested in torchTT are comparing it to the libraries listed below

• AndreiChertkov / teneva
  A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
  ☆58Updated last year
• PGelss / scikit_tt
  Tensor Train Toolbox
  ☆124Updated 3 weeks ago
• tnbar / awesome-tensorial-neural-networks
  A thoroughly investigated survey for tensorial neural networks.
  ☆141Updated 10 months ago
• YWolfeee / lapjax
  A JAX based package designed for efficient second order operators (e.g., laplacian) computation.
  ☆74Updated last year
• AndreiChertkov / ttopt
  Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle…
  ☆37Updated 2 years ago
• rballester / tntorch
  Tensor Network Learning with PyTorch
  ☆301Updated last year
• bytedance / jaqmc
  JAX accelerated Quantum Monte Carlo
  ☆87Updated 3 months ago
• BallisticLA / parla
  Python Algorithms for Randomized Linear Algebra
  ☆56Updated 2 years ago
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆123Updated 11 months ago
• anabatsh / PROTES
  Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…
  ☆38Updated 6 months ago
• rfeinman / Torch-ARPACK
  Fast extremal eigensolvers for PyTorch.
  ☆17Updated 4 years ago
• joserapa98 / tensorkrowch
  Smooth integration of tensor networks in machine learning
  ☆44Updated 4 months ago
• hongyehu / RG-Flow
  This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". …
  ☆89Updated 3 years ago
• RehMoritz / vmc_pde
  Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…
  ☆10Updated 3 years ago
• bytedance / LapNet
  Efficient and Accurate Neural-Network Ansatz for Quantum Monte Carlo
  ☆72Updated 11 months ago
• lorenzrichter / PDE-backward-solver
  ☆22Updated last year
• quanta-fine-tuning / quanta
  (NeurIPS 2024) QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
  ☆32Updated last year
• wangleiphy / tensorgrad
  Differentiable Programming Tensor Networks
  ☆144Updated 4 years ago
• n-gao / pytorch-kfac
  Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/
  ☆26Updated last year
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆81Updated last year
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆66Updated last month
• NVIDIA / ising-gpu
  GPU-accelerated Monte Carlo simulations of 2D Ising Model
  ☆68Updated 7 months ago
• dynamiqs / dynamiqs
  High-performance quantum systems simulation with JAX (GPU-accelerated & differentiable solvers).
  ☆250Updated last week
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆116Updated 2 weeks ago
• jolle-ag / qdx
  Quantum error correction code AI-discovery with Jax
  ☆45Updated 5 months ago
• bnuliujing / tn-for-unsup-ml
  ☆27Updated 4 years ago
• CQCL / qujax
  Simulating quantum circuits with JAX
  ☆71Updated 2 weeks ago
• xiaotai-yang / NQS_cmi
  Experiements on how conditional mutual information affects the performance of neural quantum states.
  ☆13Updated last year
• tensor4all / xfac
  Cross factorization of tensors
  ☆42Updated this week
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆64Updated 2 years ago