Alternatives and similar repositories for trust-region

Users that are interested in trust-region are comparing it to the libraries listed below

• pdfo / pdfo
  Powell's Derivative-Free Optimization solvers.
  ☆104Updated 4 months ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆57Updated 4 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆56Updated 3 years ago
• DENG-MIT / StiffNeuralODE
  Stiff Neural Ordinary Differential Equations
  ☆35Updated 2 years ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆26Updated 3 years ago
• Zymrael / PortHamiltonianNN
  Port-Hamiltonian Approach to Neural Network Training
  ☆24Updated 5 years ago
• parmoo / parmoo
  Python library for parallel multiobjective simulation optimization
  ☆82Updated last year
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆60Updated 8 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• numericalalgorithmsgroup / dfols
  Python-based Derivative-Free Optimizer for Least-Squares
  ☆42Updated 6 months ago
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆28Updated 5 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆87Updated 11 months ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆28Updated 5 years ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆64Updated 5 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆75Updated last month
• martinResearch / MatlabAutoDiff
  A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians
  ☆43Updated 5 months ago
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆122Updated this week
• kpchamp / MultiscaleDiscovery
  ☆30Updated 7 years ago
• ketch / PseudoSpectralPython
  A short course in pseudospectral collocation methods for wave equations, with implementations in Python.
  ☆58Updated 4 months ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 3 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆55Updated 2 years ago
• josephbakarji / bucki-data
  Machine learning algorithms for discovering dimensionless groups from simulation and experimental data
  ☆13Updated 2 years ago
• mazy1998 / Solving-Optimization-Problems-with-JAX
  Solving Optimization Problems with JAX, code and PDF
  ☆16Updated 5 years ago
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆99Updated last year
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆36Updated 3 months ago
• luckystarufo / multiscale_HiTS
  ☆73Updated 5 years ago
• niallmm / Hybrid-SINDy
  Sparse Identification of Nonlinear Dynamics for Hybrid Systems
  ☆25Updated 7 years ago