Stefan-Endres / shgo
Simplicial Homology Global Optimization
☆51Updated last month
Alternatives and similar repositories for shgo:
Users that are interested in shgo are comparing it to the libraries listed below
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆83Updated 10 months ago
- 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
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆94Updated last year
- Python-based Derivative-Free Optimization with Bound Constraints☆81Updated 7 months ago
- a python 3 library based on deap providing abstraction layers for symbolic regression problems.☆93Updated 3 years ago
- Documentation:☆119Updated last year
- Differentiable interface to FEniCS for JAX☆53Updated 3 years ago
- Numerical integration of Ito or Stratonovich SDEs☆168Updated 2 years ago
- Solve sparse linear systems in JAX using the KLU algorithm☆35Updated this week
- Python library for optimizing noisy functions.☆87Updated 2 years ago
- All things Monte Carlo, written in JAX.☆30Updated 2 years ago
- Fork of http://www.pyopt.org/ (python3 compatible)☆83Updated last year
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated 2 months ago
- ☆76Updated 2 years ago
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Updated 6 years ago
- Python library for solving Stochastic Ordinary Differential Equations (SODEs)☆15Updated 12 years ago
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆21Updated 2 years ago
- Python wrapper for the Cubature algorithm explained in: http://ab-initio.mit.edu/wiki/index.php/Cubature☆38Updated last year
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆28Updated last month
- Python package for computing and visualizing Lagrangian Descriptors in Dynamical Systems☆20Updated 3 years ago
- A software package for flexible HPC GPs☆16Updated last week
- Differentiable interface to Firedrake for JAX☆14Updated 4 years ago
- Stencil computations in JAX☆70Updated last year
- ☆30Updated 2 years ago
- ☆72Updated 4 years ago
- Use numba-compiled kernels from within Jax☆27Updated last week
- Python trust-region subproblem solvers for nonlinear optimization☆27Updated 9 months ago
- Smooth data fitting in N dimensions.☆55Updated 2 years ago
- Solving Optimization Problems with JAX, code and PDF☆15Updated 4 years ago