Alternatives and similar repositories for yabox

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

• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago
• Stefan-Endres / shgo
  Simplicial Homology Global Optimization
  ☆53Updated 6 months ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆89Updated last year
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆239Updated last week
• dme65 / pySOT
  Surrogate Optimization Toolbox for Python
  ☆212Updated 3 years ago
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆88Updated 3 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• madebr / pyOpt
  Fork of http://www.pyopt.org/ (python3 compatible)
  ☆86Updated 2 years ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆167Updated 2 years ago
• pbrod / numdifftools
  Solve automatic numerical differentiation problems in one or more variables.
  ☆274Updated 2 weeks 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
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆133Updated this week
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 3 months ago
• deephyper / deephyper
  DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
  ☆297Updated last week
• wesselb / stheno
  Gaussian process modelling in Python
  ☆223Updated 9 months ago
• coin-or / rbfopt
  RBFOpt library for black-box optimization
  ☆195Updated 6 months ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 years ago
• uqfoundation / mystic
  constrained nonlinear optimization for scientific machine learning, UQ, and AI
  ☆487Updated last week
• lmarti / evolutionary-computation-course
  Jupyter/IPython notebooks about evolutionary computation.
  ☆255Updated 8 years ago
• naught101 / sobol_seq
  python implementation of Sobol' sequence generator
  ☆67Updated 3 years ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆228Updated 3 years ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆57Updated 6 years ago
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆466Updated last month
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆458Updated 3 months ago
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 2 months ago
• kiudee / bayes-skopt
  A fully Bayesian implementation of sequential model-based optimization
  ☆42Updated last year
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆142Updated 8 months ago
• neurophysik / jitcode
  Just-in-Time Compilation for Ordinary Differential Equations
  ☆68Updated 2 months ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆240Updated last week
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆117Updated 4 years ago