| ahmedfgad/GeneticAlgorithmPython |
1,564 |
|
0 |
8 |
over 2 years ago |
57 |
September 08, 2023 |
77 |
bsd-3-clause |
Python |
| Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch). |
| BIMK/PlatEMO |
1,292 |
|
0 |
0 |
over 2 years ago |
0 |
|
66 |
|
MATLAB |
| Evolutionary multi-objective optimization platform |
| google/vizier |
1,142 |
|
0 |
3 |
about 2 years ago |
35 |
November 30, 2023 |
44 |
apache-2.0 |
Python |
| Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service. |
| nnaisense/evotorch |
941 |
|
0 |
1 |
about 2 years ago |
9 |
November 02, 2023 |
13 |
apache-2.0 |
Python |
| Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE. |
| jenetics/jenetics |
806 |
|
101 |
6 |
over 2 years ago |
24 |
August 30, 2023 |
41 |
apache-2.0 |
Java |
| Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization |
| esa/pagmo2 |
759 |
|
0 |
5 |
over 2 years ago |
24 |
August 23, 2022 |
43 |
gpl-3.0 |
C++ |
| A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. |
| kthohr/optim |
726 |
|
0 |
0 |
over 2 years ago |
0 |
|
7 |
apache-2.0 |
C++ |
| OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions |
| MaxHalford/eaopt |
721 |
|
0 |
1 |
about 5 years ago |
5 |
November 16, 2020 |
6 |
mit |
Go |
| :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution) |
| 100/Solid |
518 |
|
0 |
0 |
over 6 years ago |
0 |
|
7 |
mit |
Python |
| 🎯 A comprehensive gradient-free optimization framework written in Python |
| 7ossam81/EvoloPy |
331 |
|
0 |
0 |
almost 3 years ago |
0 |
|
24 |
apache-2.0 |
Jupyter Notebook |
| EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization. |
