Python numerical optimization toolbox
MIT License
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🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
Optimization sample codes on Python
Python Instrument Kit: A collection of tools for data analysis and plotting
ODE system solver using dG(q), time-discontinuous Galerkin with Lobatto basis.
Weighted least squares meshless interpolator and differentiator.
Python Gurobi solvers for standard dense problems (LP,QP,MILP,MIQP)
Flexible function solvers
The book "Annotated Algorithms in Python" and the nlib.py library
Distributed Asynchronous Hyperparameter Optimization in Python
Use scipy.optimize.minimize as a PyTorch Optimizer.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
A Python toolbox for performing gradient-free optimization
Machine learning's parameter search and feature selection module which is integrated log managem...
C++ implementation of the SQP algorithm SOLNP, utilizing Lagrangian Relaxation to handle both Ine...
A Python implementation of global optimization with gaussian processes.