Alternatives and similar repositories for pySOT:

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

• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆269Updated 5 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 years ago
• sahilm89 / lhsmdu
  This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Pla…
  ☆81Updated 4 years ago
• anyoptimization / pysamoo
  ☆44Updated last year
• coin-or / rbfopt
  RBFOpt library for black-box optimization
  ☆192Updated last month
• openturns / openturns
  Probabilistic modelling and uncertainty quantification library
  ☆264Updated this week
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆114Updated 11 years ago
• uber-research / TuRBO
  ☆192Updated 9 months ago
• uqfoundation / mystic
  constrained nonlinear optimization for scientific machine learning, UQ, and AI
  ☆480Updated last week
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆80Updated 3 weeks ago
• aminnayebi / HesBO
  The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces
  ☆41Updated 5 years ago
• SMTorg / smt
  Surrogate Modeling Toolbox
  ☆755Updated last week
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆459Updated last month
• madebr / pyOpt
  Fork of http://www.pyopt.org/ (python3 compatible)
  ☆83Updated last year
• paulcon / active_subspaces
  Python Active-subspaces Utility Library
  ☆72Updated 4 years ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆229Updated last week
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆245Updated 3 years ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆230Updated 2 years ago
• paraklas / NARGP
  Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
  ☆63Updated 8 years ago
• wangronin / MIP-EGO
  Mixed-Integer Parallel Efficient Global Optimization
  ☆40Updated 3 years ago
• baptistar / BOCS
  Bayesian Optimization of Combinatorial Structures
  ☆97Updated 5 years ago
• dbindel / POAP
  Plumbing for Optimization with Asynchronous Parallelism
  ☆12Updated 5 years ago
• wangronin / Bayesian-Optimization
  Bayesian Optimization algorithms with various recent improvements
  ☆99Updated last year
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆80Updated 7 months ago
• vlad17 / runlmc
  Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.
  ☆38Updated 2 years ago
• clicumu / pyDOE2
  Design of experiments for Python
  ☆158Updated last year
• EmuKit / emukit
  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…
  ☆628Updated 2 months ago
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆128Updated last year
• msu-coinlab / pymop
  Single- as well as Multi-Objective Optimization Test Problems: ZDT, DTLZ, CDTLZ, CTP, BNH, OSY, ...
  ☆84Updated 6 years ago
• AxelThevenot / Python_Benchmark_Test_Optimization_Function_Single_Objective
  ☆83Updated 2 years ago