Alternatives and similar repositories for pySOT

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

• coin-or / rbfopt
  RBFOpt library for black-box optimization
  ☆195Updated 6 months ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆270Updated 5 years ago
• PredictiveScienceLab / uq-course
  Introduction to Uncertainty Quantification
  ☆255Updated 3 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 years ago
• baptistar / BOCS
  Bayesian Optimization of Combinatorial Structures
  ☆97Updated 5 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆115Updated 12 years ago
• Eric-Bradford / TS-EMO
  This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
  ☆102Updated 5 years ago
• uber-research / TuRBO
  ☆207Updated last year
• anyoptimization / pysamoo
  ☆47Updated last year
• SMTorg / smt
  Surrogate Modeling Toolbox
  ☆810Updated this week
• numbbo / coco
  Numerical Black-Box Optimization Benchmarking Framework
  ☆289Updated 8 months ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆228Updated 3 years ago
• madebr / pyOpt
  Fork of http://www.pyopt.org/ (python3 compatible)
  ☆86Updated 2 years ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆240Updated last week
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆81Updated 3 weeks ago
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆466Updated last month
• bmcage / odes
  The ODES scikit for ordinary differential and algebraic equations, an extension to scipy
  ☆128Updated 8 months ago
• vlad17 / runlmc
  Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.
  ☆38Updated 2 years ago
• sahilm89 / lhsmdu
  This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Pla…
  ☆81Updated 5 years ago
• paulcon / active_subspaces
  Python Active-subspaces Utility Library
  ☆74Updated 5 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆89Updated last year
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆138Updated 2 years ago
• clicumu / pyDOE2
  Design of experiments for Python
  ☆163Updated last year
• ppgaluzio / MOBOpt
  Multi-objective Bayesian optimization
  ☆93Updated 2 years ago
• EmuKit / emukit
  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…
  ☆633Updated this week
• esa / pygmo2
  A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model…
  ☆502Updated last year
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆328Updated last month
• wangronin / Bayesian-Optimization
  Bayesian Optimization algorithms with various recent improvements
  ☆101Updated 2 years ago
• aminnayebi / HesBO
  The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces
  ☆42Updated 6 years ago
• wangronin / MIP-EGO
  Mixed-Integer Parallel Efficient Global Optimization
  ☆40Updated 3 years ago