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
  ☆196Updated 8 months ago
• PredictiveScienceLab / uq-course
  Introduction to Uncertainty Quantification
  ☆255Updated 3 years ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆272Updated 5 years ago
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆466Updated 3 months ago
• SMTorg / smt
  Surrogate Modeling Toolbox
  ☆835Updated last week
• anyoptimization / pysamoo
  ☆49Updated 2 years ago
• Eric-Bradford / TS-EMO
  This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
  ☆103Updated 5 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆116Updated 12 years ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆230Updated 3 years ago
• uber-research / TuRBO
  ☆214Updated last year
• madebr / pyOpt
  Fork of http://www.pyopt.org/ (python3 compatible)
  ☆85Updated 2 years ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆81Updated 2 weeks ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆242Updated last month
• EmuKit / emukit
  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…
  ☆641Updated last week
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 5 years ago
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆138Updated 3 years ago
• uqfoundation / mystic
  constrained nonlinear optimization for scientific machine learning, UQ, and AI
  ☆488Updated this week
• openturns / openturns
  Probabilistic modelling and uncertainty quantification library
  ☆294Updated last week
• AxelThevenot / Python_Benchmark_Test_Optimization_Function_Single_Objective
  ☆87Updated 2 years ago
• wangronin / Bayesian-Optimization
  Bayesian Optimization algorithms with various recent improvements
  ☆103Updated 2 years ago
• clicumu / pyDOE2
  Design of experiments for Python
  ☆163Updated 2 years ago
• tisimst / pyDOE
  Design of experiments for Python
  ☆292Updated 4 years ago
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆338Updated last week
• baptistar / BOCS
  Bayesian Optimization of Combinatorial Structures
  ☆99Updated 6 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆91Updated last week
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• ppgaluzio / MOBOpt
  Multi-objective Bayesian optimization
  ☆94Updated 2 years ago
• esa / pygmo2
  A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model…
  ☆511Updated last year
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• bmcage / odes
  The ODES scikit for ordinary differential and algebraic equations, an extension to scipy
  ☆131Updated 10 months ago