Stefan-Endres / shgoLinks
Simplicial Homology Global Optimization
☆51Updated 2 months ago
Alternatives and similar repositories for shgo
Users that are interested in shgo are comparing it to the libraries listed below
Sorting:
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Python wrapper to the DIRECT global optimization algorithm with scipy.optimize compatible call syntax☆30Updated 2 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆85Updated 10 months ago
- Documentation:☆120Updated 2 years ago
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆28Updated 2 months ago
- Python-based Derivative-Free Optimization with Bound Constraints☆81Updated 8 months ago
- Fork of http://www.pyopt.org/ (python3 compatible)☆84Updated last year
- ☆76Updated 3 years ago
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Updated 6 years ago
- Tools for JAX☆47Updated this week
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- a python 3 library based on deap providing abstraction layers for symbolic regression problems.☆93Updated 3 years ago
- Stencil computations in JAX☆71Updated last year
- All things Monte Carlo, written in JAX.☆31Updated 2 years ago
- Python trust-region subproblem solvers for nonlinear optimization☆27Updated 10 months ago
- Exponential families for JAX☆69Updated last week
- Minimal Implementation of Bayesian Optimization in JAX☆95Updated last month
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated last year
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated 3 months ago
- A derivative-free solver for general nonlinear optimization.☆50Updated 2 months ago
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆96Updated last year
- Numerical integration of Ito or Stratonovich SDEs☆168Updated 2 years ago
- ☆30Updated 8 months ago
- ☆30Updated 2 years ago
- Optimal numerical differentiation of noisy time series data in python.☆62Updated 2 weeks ago
- Solve ODEs fast, with support for PyMC☆112Updated last year
- Differentiation through cone programs☆101Updated 4 months ago
- Just-in-Time Compilation for Ordinary Differential Equations☆66Updated 3 months ago
- Python wrapper for the Cubature algorithm explained in: http://ab-initio.mit.edu/wiki/index.php/Cubature☆40Updated last year