| ray-project/ray |
29,596 |
|
80 |
363 |
about 2 years ago |
95 |
December 04, 2023 |
3,528 |
apache-2.0 |
Python |
| Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. |
| optuna/optuna |
9,176 |
|
26 |
425 |
about 2 years ago |
59 |
October 17, 2023 |
88 |
other |
Python |
| A hyperparameter optimization framework |
| 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. |
| 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) |
| spcl/dace |
444 |
|
0 |
4 |
about 2 years ago |
23 |
December 07, 2023 |
159 |
bsd-3-clause |
Python |
| DaCe - Data Centric Parallel Programming |
| paulknysh/blackbox |
417 |
|
0 |
0 |
over 3 years ago |
3 |
December 06, 2020 |
10 |
mit |
Python |
| A Python module for parallel optimization of expensive black-box functions |
| eyounx/ZOOpt |
360 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
mit |
Python |
| A python package of Zeroth-Order Optimization (ZOOpt) |
| esa/pygmo2 |
329 |
|
11 |
23 |
almost 3 years ago |
25 |
April 10, 2023 |
28 |
mpl-2.0 |
C++ |
| A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. |
| sherpa-ai/sherpa |
294 |
|
1 |
3 |
over 5 years ago |
8 |
November 23, 2019 |
13 |
other |
JavaScript |
| Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly. |
| esa/pagmo |
231 |
|
0 |
0 |
almost 6 years ago |
0 |
|
43 |
gpl-3.0 |
C++ |
| A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. State of the art optimization algorithms are included. A common interface is provided to other optimization frameworks/algorithms such as NLOPT, SciPy, SNOPT, IPOPT, GSL |
