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
• Eric-Bradford / TS-EMO
  This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
  ☆102Updated 5 years ago
• marcovirgolin / pyNSGP
  Multi-objective Genetic Programming by NSGA-II in Python
  ☆33Updated 3 years ago
• cog-imperial / entmoot
  Multiobjective black-box optimization using gradient-boosted trees
  ☆58Updated 3 months ago
• cfusting / fastgp
  Fast Genetic Programming
  ☆11Updated 5 years ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆63Updated 5 years ago
• jerrytheo / psopy
  A SciPy compatible super fast Python implementation for Particle Swarm Optimization.
  ☆36Updated 5 years ago
• tsyet12 / EvoOpt
  Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
  ☆13Updated 2 years ago
• aresio / fst-pso
  A settings-free global optimization method based on PSO and fuzzy logic
  ☆38Updated 3 weeks ago
• CAChemE / stochastic-optimization
  A set of examples to optimize process simulators with Python (PSO) - PyConES 2016
  ☆29Updated 8 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago
• cog-imperial / SnAKe
  Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".
  ☆17Updated last year
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 3 months ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆56Updated 6 years ago
• sayin / Data_Driven_Symbolic_Regression
  Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …
  ☆33Updated 4 years ago
• matthewjwoodruff / pareto.py
  Nondominated sorting for multi-objective problems
  ☆115Updated 6 years ago
• anyoptimization / pysamoo
  ☆44Updated last year
• mooscaliaproject / pymoode
  A Python framework for Differential Evolution using pymoo.
  ☆49Updated 7 months ago
• maziarraissi / ParametricGP-in-Matlab
  Parametric Gaussian Process Regression for Big Data (Matlab Version)
  ☆24Updated 7 years ago
• microprediction / optimizer-elo-ratings
  Assigns Elo Ratings to Python Global Optimizers
  ☆22Updated last year
• openturns / otrobopt
  Robust optimization module
  ☆13Updated 2 weeks ago
• JoachimSchaeffer / LAVADE
  Latent Variable Methods Demonstrator, Version 0.1.0
  ☆10Updated 4 months 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
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• baptistar / BOCS
  Bayesian Optimization of Combinatorial Structures
  ☆97Updated 5 years ago
• domsearson / gptips-2-0
  Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB
  ☆14Updated 2 years ago
• ppgaluzio / MOBOpt
  Multi-objective Bayesian optimization
  ☆90Updated 2 years ago
• pySRURGS / pySRURGS
  Symbolic regression by uniform random global search
  ☆13Updated last year
• tsterbak / kernel_eca
  Scikit-learn compatible Kernel Entropy Component Analysis in Python
  ☆13Updated 9 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago