Pyevolve
optimization framework
A Python-based optimization framework providing tools and algorithms to evolve solutions from problem definitions.
Pyevolve
314 stars
32 watching
108 forks
Language: Python
last commit: over 3 years ago
Linked from 2 awesome lists
josephmisiti/awesome-machine-learning
jobbole/awesome-machine-learning-cnRelated projects:
| Repository | Description | Stars |
|---|---|---|
 fpicetti/occamypy | A library for solving large-scale optimization problems with flexible and scalable vector and operator definitions | 54 |
 project-pareto/project-pareto | An optimization framework for managing produced water and its beneficial reuse | 18 |
 100/solid | A comprehensive framework for solving optimization problems without gradient calculations. | 575 |
 jungtaekkim/bayeso | A framework for optimizing hyperparameters in machine learning models using Bayesian optimization | 93 |
 jonfanlab/glonet | A software framework for training neural networks to optimize dielectric metasurfaces using physics-driven generative models and global optimization algorithms. | 101 |
 automl/robo | A Bayesian optimization framework designed to optimize complex functions with robustness and flexibility | 483 |
 liboyue/beer | A collection of numerical experiments and code for demonstrating the performance of decentralized nonconvex optimization methods | 8 |
 mysteryresearcher/dasha | A framework for distributed optimization with communication compression and optimal oracle complexity. | 0 |
 adgefficiency/energy-py | A framework for running reinforcement learning experiments on energy environments. | 175 |
 ljvmiranda921/pyswarms | A toolkit for implementing particle swarm optimization algorithms | 1,292 |
 google/ceviche-challenges | A software suite for benchmarking photonic inverse design optimization algorithms | 94 |
 project-platypus/platypus | A Python library for multiobjective optimization algorithms and analysis tools. | 574 |
 guopengf/auto-fedrl | A reinforcement learning-based framework for optimizing hyperparameters in distributed machine learning environments. | 15 |
 bluebrain/bluepyopt | A flexible framework for optimizing model parameters in computational neuroscience and related fields. | 201 |
 peterfox/hexavel | A restructured version of the Laravel Framework designed to simplify development workflows and improve modularity. | 7 |