Alternatives and similar repositories for shgo

Users that are interested in shgo are comparing it to the libraries listed below

• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆85Updated 10 months ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆167Updated 2 years ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 3 months ago
• madebr / pyOpt
  Fork of http://www.pyopt.org/ (python3 compatible)
  ☆86Updated last year
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆138Updated 2 years ago
• andim / scipydirect
  Python wrapper to the DIRECT global optimization algorithm with scipy.optimize compatible call syntax
  ☆30Updated 2 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆85Updated last year
• cvxgrp / ncvx
  ☆76Updated 3 years ago
• SymJAX / SymJAX
  Documentation:
  ☆120Updated 2 years ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆237Updated 3 weeks ago
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆74Updated 6 months ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆49Updated 3 years ago
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆27Updated 11 months ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆72Updated 3 weeks ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆63Updated last week
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆148Updated last year
• ASEM000 / kernex
  Stencil computations in JAX
  ☆71Updated last year
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆114Updated last year
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆238Updated 5 months ago
• parmoo / parmoo
  Python library for parallel multiobjective simulation optimization
  ☆82Updated 10 months ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated 9 months ago
• QMCSoftware / QMCSoftware
  Quasi-Monte Carlo point generators, automatic transformations, and adaptive stopping criteria
  ☆75Updated this week
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆129Updated last year
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆120Updated this week
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆101Updated 5 months ago
• cog-imperial / entmoot
  Multiobjective black-box optimization using gradient-boosted trees
  ☆58Updated 4 months ago
• kiudee / bayes-skopt
  A fully Bayesian implementation of sequential model-based optimization
  ☆39Updated last year