justinlovinger / optimal-pyLinks
A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.
☆39Updated 4 years ago
Alternatives and similar repositories for optimal-py
Users that are interested in optimal-py are comparing it to the libraries listed below
Sorting:
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Updated 6 years ago
- This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).☆102Updated 5 years ago
- A computational framework for finding symbolic expressions from physical datasets.☆61Updated 2 years ago
- A set of examples to optimize process simulators with Python (PSO) - PyConES 2016☆30Updated 8 years ago
- Multiobjective black-box optimization using gradient-boosted trees☆60Updated 5 months ago
- Python trust-region subproblem solvers for nonlinear optimization☆28Updated last year
- a collection of modern sparse (regularized) linear regression algorithms.☆64Updated 5 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- Python library for parallel multiobjective simulation optimization☆82Updated 11 months ago
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated 6 months ago
- Dynamic Mode Decomposition☆60Updated 8 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆33Updated 4 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 2 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 7 years ago
- ☆27Updated 5 years ago
- ☆30Updated 3 years ago
- FOQUS: Framework for Optimization and Quantification of Uncertainty and Surrogates☆47Updated 3 weeks ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆81Updated last month
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆28Updated last month
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- A Jupyter/IPython notebook tutorial on evolutionary multi-objective optimization.☆27Updated 6 months ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Estimate derivatives with finite differences☆17Updated 9 months ago
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- Design of Experiments in Python☆28Updated 5 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 5 years ago
- Probabilistic Response mOdel Fitting with Interactive Tools☆15Updated 2 weeks ago
- Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/☆159Updated last year