Alternatives and similar repositories for PROTES:

Users that are interested in PROTES 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
  ☆50Updated 8 months ago
• AndreiChertkov / ttopt
  Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle…
  ☆35Updated last year
• Daulbaev / IRDM
  ☆11Updated 4 years ago
• juliagusak / neural-ode-norm
  Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
  ☆16Updated 4 years ago
• oseledets / nla2022
  Skoltech Numerical Linear Course Edition 2022
  ☆46Updated 2 years ago
• oseledets / nla2020
  Github repository for NLA2020 course
  ☆84Updated 4 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆32Updated 2 years ago
• maremun / quffka
  Quadrature-based features for kernel approximation
  ☆16Updated 6 years ago
• oseledets / nla2019
  NLA 2019 course @ Skoltech.
  ☆40Updated 5 years ago
• fasghq / ttax
  Tensor-Train toolbox in Jax
  ☆11Updated 3 years ago
• savostyanov / ttcross
  Cross interpolation of high-dimensional arrays in tensor train format
  ☆24Updated last year
• nntile / nntile
  A neural network training framework within a task-based parallel programming paradigm
  ☆52Updated this week
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆24Updated 4 years ago
• ion-g-ion / torchTT
  Tensor-Train decomposition in pytorch
  ☆60Updated 2 months ago
• tgritsaev / gflownet-tlm
  The source code for the paper "Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization" (ICLR 2025)
  ☆26Updated 3 weeks ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆48Updated last year
• oseledets / dl2024
  Deep Learning Course, Skoltech, 2024
  ☆16Updated 9 months ago
• stat-ml / TTDE
  ☆14Updated 2 years ago
• rballester / ttrecipes
  Metamodeling, sensitivity analysis and visualization using the tensor train format
  ☆22Updated 2 years ago
• oseledets / nla2024
  Skoltech NLA 2024 course.
  ☆26Updated 3 months ago
• necludov / oMCMC
  orbital MCMC
  ☆10Updated 3 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated 2 years ago
• amkatrutsa / optimization_course
  A course on Optimization Methods
  ☆153Updated 2 years ago
• Cognitive-AI-Systems / him-agent
  The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior usin…
  ☆37Updated last month
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• MerkulovDaniil / optim
  💎A site, that contains systematic optimization methods and theory review
  ☆112Updated last week
• KhrulkovV / tt-pytorch
  ☆60Updated 4 years ago
• dolgov / TT-IRT
  Inverse Rosenblatt Transform (Conditional Distribution) + MCMC sampling using Tensor Train approximation
  ☆14Updated 2 weeks ago
• oseledets / nla2018
  NLA 2018 Skoltech course
  ☆54Updated 6 years ago
• oseledets / dl2023
  Deep learning @ Skoltech @ 2023
  ☆54Updated last year