| 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 |
| neka-nat/probreg |
670 |
|
0 |
2 |
over 2 years ago |
32 |
September 19, 2022 |
8 |
mit |
Python |
| Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD) |
| bgalbraith/bandits |
472 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
apache-2.0 |
Jupyter Notebook |
| Python library for Multi-Armed Bandits |
| chrisstroemel/Simple |
432 |
|
0 |
0 |
about 8 years ago |
0 |
|
3 |
agpl-3.0 |
Python |
| Experimental Global Optimization Algorithm |
| panditanvita/BTCpredictor |
269 |
|
0 |
0 |
over 8 years ago |
0 |
|
3 |
mit |
Matlab |
| Bitcoin price prediction algorithm using bayesian regression techniques |
| dilinwang820/Stein-Variational-Gradient-Descent |
261 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
mit |
Python |
| code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm" |
| nrontsis/PILCO |
213 |
|
0 |
0 |
about 5 years ago |
0 |
|
12 |
mit |
Python |
| Bayesian Reinforcement Learning in Tensorflow |
| lacerbi/optimviz |
119 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
gpl-3.0 |
MATLAB |
| Visualize optimization algorithms in MATLAB. |
| batermj/data_sciences_campaign |
96 |
|
0 |
0 |
about 2 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| 【数据科学家系列课程】 |
| saulabs/trueskill |
72 |
|
37 |
0 |
over 12 years ago |
5 |
January 18, 2011 |
4 |
mit |
Ruby |
| a ruby gem that implements the trueskill algorithm |
