Alternatives and similar repositories for nonlinear-optimization

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

• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆35Updated 3 years ago
• MOSEK / Tutorials
  A collection of tutorials for the MOSEK package
  ☆117Updated 2 months ago
• ampl / mo-book.ampl.com
  Hands-On Mathematical Optimization with AMPL in Python
  ☆27Updated last month
• nasa / SMCPy
  Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
  ☆118Updated 3 weeks ago
• sdepy / sdepy
  SdePy: Numerical Integration of Ito Stochastic Differential Equations
  ☆43Updated 3 years ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆64Updated 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
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 3 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆93Updated last week
• jbramburger / Data-Science-Methods
  This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
  ☆53Updated 4 years ago
• kpchamp / SINDySR3
  ☆27Updated 5 years ago
• clegaard / deep_learning_for_dynamical_systems
  ☆88Updated 2 years ago
• jkirkby3 / pymle
  Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
  ☆53Updated 7 months ago
• iagolemos1 / thresholdmodeling
  ☆33Updated 4 years ago
• CAChemE / stochastic-optimization
  A set of examples to optimize process simulators with Python (PSO) - PyConES 2016
  ☆30Updated 8 years ago
• APMonitor / dynopt
  Dynamic Optimization
  ☆17Updated 4 months ago
• ORF522 / companion
  Supporting material for Princeton ORF522
  ☆13Updated 8 months ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆37Updated 6 years ago
• erichson / optht
  Optimal Hard Threshold for Matrix Denoising
  ☆38Updated 3 years ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆26Updated 3 years ago
• APMonitor / pds
  Machine Learning for Engineers in Python
  ☆77Updated 6 months ago
• BYU-PRISM / Seeq
  Hybrid (Physics-Informed) Machine Learning
  ☆48Updated 3 weeks ago
• APMonitor / mdc
  Matlab Dynamics and Control
  ☆42Updated 2 years ago
• bhattbhavesh91 / multivariate-adaptive-regression-splines-demo
  A small tutorial on MARS: Multivariate Adaptive Regression Splines in Python
  ☆13Updated 4 years ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 3 years ago
• bruscalia / optimization-demo-files
  Examples on numerical optimization
  ☆65Updated 7 months ago
• horchler / SDETools
  Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations
  ☆102Updated 4 years ago
• NREL / phygnn
  physics-guided neural networks (phygnn)
  ☆95Updated 2 months ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆98Updated 4 years ago