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
  ☆126Updated last week
• sdepy / sdepy
  SdePy: Numerical Integration of Ito Stochastic Differential Equations
  ☆44Updated 4 years ago
• nasa / SMCPy
  Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
  ☆123Updated 4 months ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 3 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆38Updated 3 years ago
• jkirkby3 / pymle
  Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
  ☆56Updated 5 months ago
• ShuaiGuo16 / Surrogate_Optimization
  A step-by-step guide for surrogate optimization using Gaussian Process surrogate model
  ☆31Updated 5 years ago
• clegaard / deep_learning_for_dynamical_systems
  ☆89Updated 2 years ago
• NISL-MSU / PredictionIntervals
  DualAQD: Dual Accuracy-quality-driven Prediction Intervals. IEEE TNNLS 2023.
  ☆11Updated 3 months ago
• bhattbhavesh91 / multivariate-adaptive-regression-splines-demo
  A small tutorial on MARS: Multivariate Adaptive Regression Splines in Python
  ☆13Updated 4 years ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆65Updated 5 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
  ☆66Updated last year
• ORF522 / companion
  Supporting material for Princeton ORF522
  ☆14Updated 4 months ago
• ContiPaolo / EKF-SINDy
  Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)
  ☆67Updated 8 months ago
• NREL / phygnn
  physics-guided neural networks (phygnn)
  ☆102Updated 4 months 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
• pat-hanbury / MonteCarloTutorial
  Repo to supplement my tutorial on Monte Carlo Simulations and Importance Sampling
  ☆76Updated 6 years ago
• vaseline555 / Algorithms-for-Optimization-Python
  Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…
  ☆53Updated 3 years ago
• mooscaliaproject / pymoode
  A Python framework for Differential Evolution using pymoo.
  ☆50Updated last year
• ampl / mo-book.ampl.com
  Hands-On Mathematical Optimization with AMPL in Python
  ☆31Updated 6 months ago
• iagolemos1 / thresholdmodeling
  ☆34Updated 5 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆109Updated last week
• sydney-machine-learning / Bayesianneuralnetworks-MCMC-tutorial
  Bayesian neural networks via MCMC: tutorial
  ☆60Updated last year
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 7 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆80Updated 2 years ago
• kpchamp / SINDySR3
  ☆30Updated 5 years ago
• BYU-PRISM / Seeq
  Hybrid (Physics-Informed) Machine Learning
  ☆50Updated last week
• numericalalgorithmsgroup / NAGPythonExamples
  Examples and demos showing how to call functions from the nAG Library for Python
  ☆68Updated last year
• loiseaujc / SINDy
  ☆43Updated 7 years ago