| krasserm/bayesian-machine-learning |
1,587 |
|
0 |
0 |
about 3 years ago |
0 |
|
4 |
apache-2.0 |
Jupyter Notebook |
| Notebooks about Bayesian methods for machine learning |
| 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) |
| ohirose/bcpd |
218 |
|
0 |
0 |
about 3 years ago |
0 |
|
9 |
mit |
C |
| Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++) |
| thuijskens/bayesian-optimization |
218 |
|
0 |
0 |
over 9 years ago |
0 |
|
4 |
|
Jupyter Notebook |
| Python code for bayesian optimization using Gaussian processes |
| nrontsis/PILCO |
213 |
|
0 |
0 |
about 5 years ago |
0 |
|
12 |
mit |
Python |
| Bayesian Reinforcement Learning in Tensorflow |
| izmailovpavel/understandingbdl |
174 |
|
0 |
0 |
about 4 years ago |
0 |
|
3 |
other |
Jupyter Notebook |
| wujian16/Cornell-MOE |
165 |
|
0 |
0 |
about 6 years ago |
0 |
|
23 |
other |
C++ |
| A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++. |
| gpstuff-dev/gpstuff |
144 |
|
0 |
0 |
over 3 years ago |
0 |
|
7 |
gpl-3.0 |
MATLAB |
| GPstuff - Gaussian process models for Bayesian analysis |
| m-clark/Miscellaneous-R-Code |
140 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
R |
| Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo. |
| gradientinstitute/aboleth |
125 |
|
0 |
0 |
over 7 years ago |
10 |
September 20, 2018 |
11 |
apache-2.0 |
Python |
| A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation |
