| pytorch/botorch |
2,880 |
|
0 |
40 |
about 2 years ago |
42 |
December 09, 2023 |
69 |
mit |
Jupyter Notebook |
| Bayesian optimization in PyTorch |
| facebook/Ax |
2,217 |
|
2 |
26 |
about 2 years ago |
39 |
December 09, 2023 |
68 |
mit |
Python |
| Adaptive Experimentation Platform |
| HIPS/Spearmint |
1,334 |
|
0 |
0 |
over 6 years ago |
0 |
|
75 |
other |
Python |
| Spearmint Bayesian optimization codebase |
| JasperSnoek/spearmint |
1,310 |
|
0 |
0 |
over 8 years ago |
0 |
|
47 |
|
Python |
| Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012 |
| chrisstroemel/Simple |
432 |
|
0 |
0 |
about 8 years ago |
0 |
|
3 |
agpl-3.0 |
Python |
| Experimental Global Optimization Algorithm |
| automl/RoBO |
381 |
|
0 |
0 |
almost 7 years ago |
0 |
|
16 |
bsd-3-clause |
Python |
| RoBO: a Robust Bayesian Optimization framework |
| rmcantin/bayesopt |
349 |
|
3 |
1 |
about 3 years ago |
3 |
June 30, 2017 |
7 |
agpl-3.0 |
C++ |
| BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits. |
| quantumjot/btrack |
276 |
|
0 |
5 |
over 2 years ago |
32 |
August 10, 2023 |
48 |
mit |
Python |
| Bayesian multi-object tracking |
| c-bata/goptuna |
240 |
|
0 |
4 |
over 2 years ago |
27 |
September 09, 2023 |
13 |
mit |
Go |
| A hyperparameter optimization framework, inspired by Optuna. |
| resibots/limbo |
223 |
|
0 |
0 |
over 2 years ago |
0 |
|
19 |
other |
C++ |
| A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11) |
