 Solid
 Solid 
 Optimizer
 A comprehensive framework for solving optimization problems without gradient calculations.
🎯 A comprehensive gradient-free optimization framework written in Python
575 stars
 12 watching
 61 forks
 
Language: Python 
last commit: over 6 years ago 
Linked from   1 awesome list  
  algorithmartificial-intelligencecontinuous-optimizationdiscrete-optimizationevolutionary-algorithmgenetic-algorithmgenetic-algorithm-frameworkharmony-searchhill-climbinglibrarymachine-learningmachine-learning-algorithmsmetaheuristicsoptimizationoptimization-algorithmsparticle-swarm-optimizationpythonsimulated-annealingstochastic-optimizerstabu-search 
 Related projects:
| Repository | Description | Stars | 
|---|---|---|
|  | A Python framework for using genetic programming to solve problems and optimize solutions | 122 | 
|  | A Python library for multiobjective optimization algorithms and analysis tools. | 579 | 
|  | A Python library that streamlines the process of optimizing mathematical functions by intelligently selecting key points in parameter space for efficient parallel evaluations. | 1,168 | 
|  | A library for solving large-scale optimization problems with flexible and scalable vector and operator definitions | 55 | 
|  | An optimization library based on nature-inspired meta-heuristic algorithms. | 609 | 
|  | A Bayesian optimization framework designed to optimize complex functions with robustness and flexibility | 484 | 
|  | A framework for optimizing complex functions using a multi-fidelity approach. | 5 | 
|  | An optimization algorithm implementation in Matlab. | 83 | 
|  | An optimization framework designed to address heterogeneity in federated learning across distributed networks | 655 | 
|  | A software framework for training neural networks to optimize dielectric metasurfaces using physics-driven generative models and global optimization algorithms. | 101 | 
|  | A Python-based optimization framework providing tools and algorithms to evolve solutions from problem definitions. | 314 | 
|  | A Python package for gradient-based function optimization in machine learning | 181 | 
|  | A reinforcement learning environment library for compiler optimization tasks | 917 | 
|  | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 | 
|  | A collection of unconstrained optimization algorithms for sparse modeling in MATLAB | 53 |