Alternatives and similar repositories for nonlinear-optimization

Users that are interested in nonlinear-optimization are comparing it to the libraries listed below

• MOSEK / Tutorials
  A collection of tutorials for the MOSEK package
  ☆118Updated 3 months ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆35Updated 3 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆37Updated 6 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 3 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆28Updated 5 years ago
• nasa / SMCPy
  Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
  ☆121Updated this week
• pnnl / NeuralDAEs
  ☆15Updated last month
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆64Updated 5 years ago
• ContiPaolo / EKF-SINDy
  Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)
  ☆62Updated 4 months ago
• marcovirgolin / pyNSGP
  Multi-objective Genetic Programming by NSGA-II in Python
  ☆33Updated 3 years ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 3 years ago
• ShuaiGuo16 / Surrogate_Optimization
  A step-by-step guide for surrogate optimization using Gaussian Process surrogate model
  ☆32Updated 4 years ago
• ampl / mo-book.ampl.com
  Hands-On Mathematical Optimization with AMPL in Python
  ☆28Updated 2 months ago
• tduriez / OpenMLC-Matlab-2
  Newer Matlab Implementation of Machine Learning Control
  ☆15Updated last year
• mooscaliaproject / pymoode
  A Python framework for Differential Evolution using pymoo.
  ☆50Updated 9 months ago
• NREL / phygnn
  physics-guided neural networks (phygnn)
  ☆95Updated 3 months ago
• multi-objective / moocore
  Core Mathematical Functions for Multi-Objective Optimization
  ☆23Updated this week
• SALib / SATut
  Tutorials for Sensitivity Analysis using SALib
  ☆34Updated 5 months ago
• ndcbe / CBE60499
  Nonlinear and Stochastic Optimization. https://ndcbe.github.io/CBE60499/
  ☆17Updated 2 years ago
• APMonitor / dynopt
  Dynamic Optimization
  ☆17Updated 5 months ago
• donghun2018 / seqdecisionlib-release
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆61Updated 6 years ago
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆60Updated last year
• cog-imperial / entmoot
  Multiobjective black-box optimization using gradient-boosted trees
  ☆60Updated 5 months ago
• CAChemE / stochastic-optimization
  A set of examples to optimize process simulators with Python (PSO) - PyConES 2016
  ☆30Updated 8 years ago
• jbramburger / Data-Science-Methods
  This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
  ☆53Updated 4 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• numericalalgorithmsgroup / dfols
  Python-based Derivative-Free Optimizer for Least-Squares
  ☆42Updated 6 months ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• bruscalia / optimization-demo-files
  Examples on numerical optimization
  ☆65Updated 8 months ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆92Updated 2 weeks ago