Alternatives and similar repositories for optimal-py

Users that are interested in optimal-py are comparing it to the libraries listed below

• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• cfusting / fastgp
  Fast Genetic Programming
  ☆11Updated 5 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆27Updated 5 years ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆64Updated 5 years ago
• LironSimon / SciMED
  A computational framework for finding symbolic expressions from physical datasets.
  ☆61Updated 2 years ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆56Updated 6 years ago
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 3 months ago
• mooscaliaproject / pymoode
  A Python framework for Differential Evolution using pymoo.
  ☆50Updated 7 months ago
• Eric-Bradford / TS-EMO
  This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
  ☆102Updated 5 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• baptistar / BOCS
  Bayesian Optimization of Combinatorial Structures
  ☆97Updated 5 years ago
• juliusberner / Deep-Multilevel-Kolmogorov-PDE-Solver
  Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation
  ☆12Updated 3 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆59Updated 7 years ago
• luckystarufo / multiscale_HiTS
  ☆72Updated 4 years ago
• PredictiveScienceLab / inverse-bgo
  Use Bayesian Global Optimization to solve inverse problems
  ☆13Updated 9 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆85Updated 10 months ago
• lmarti / evolutionary-multiobjective-optimization
  A Jupyter/IPython notebook tutorial on evolutionary multi-objective optimization.
  ☆26Updated 4 months ago
• numericalalgorithmsgroup / dfols
  Python-based Derivative-Free Optimizer for Least-Squares
  ☆42Updated 5 months ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• kpchamp / MultiscaleDiscovery
  ☆28Updated 7 years ago
• Stefan-Endres / shgo
  Simplicial Homology Global Optimization
  ☆51Updated 3 months ago
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆27Updated 11 months ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆35Updated 3 years ago
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆35Updated last year
• cog-imperial / entmoot
  Multiobjective black-box optimization using gradient-boosted trees
  ☆58Updated 4 months ago
• wangronin / Bayesian-Optimization
  Bayesian Optimization algorithms with various recent improvements
  ☆99Updated 2 years ago
• statease / dexpy
  Design of Experiments in Python
  ☆28Updated 4 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago