anabatsh / PROTES
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
☆32Updated 2 months ago
Alternatives and similar repositories for PROTES:
Users that are interested in PROTES are comparing it to the libraries listed below
- A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays☆50Updated 8 months ago
- Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle…☆35Updated last year
- ☆11Updated 4 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 4 years ago
- Github repository for NLA2020 course☆83Updated 4 years ago
- Skoltech Numerical Linear Course Edition 2022☆45Updated 2 years ago
- Quadrature-based features for kernel approximation☆16Updated 6 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 2 years ago
- A neural network training framework within a task-based parallel programming paradigm☆53Updated 2 weeks ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 3 years ago
- ☆14Updated last year
- NLA 2019 course @ Skoltech.☆40Updated 5 years ago
- Tensor-Train toolbox in Jax☆11Updated 3 years ago
- The source code for the paper "Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization" (ICLR 2025)☆25Updated 3 weeks ago
- NLA 2018 Skoltech course☆53Updated 6 years ago
- Repository containing lectures from 2021 Machine Learning course☆12Updated 2 years ago
- Riemannian Optimization Using JAX☆48Updated last year
- The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior usin…☆37Updated last month
- orbital MCMC☆10Updated 3 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆22Updated 2 years ago
- Tensor-Train decomposition in pytorch☆60Updated last month
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Cross interpolation of high-dimensional arrays in tensor train format☆24Updated last year
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆93Updated last year
- Skoltech NLA 2024 course.☆26Updated 3 months ago
- ☆20Updated 8 months ago
- 💎A site, that contains systematic optimization methods and theory review☆111Updated last week
- ☆30Updated 6 months ago
- Turning SymPy expressions into JAX functions☆44Updated 4 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago