| JWarmenhoven/DBDA-python |
543 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code |
| RJT1990/PyData2016-SanFrancisco |
23 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
|
| A Tour of Time Series Analysis |
| tcassou/babtest |
19 |
|
0 |
0 |
over 5 years ago |
7 |
July 30, 2020 |
1 |
|
Python |
| Python package for Bayesian Tests / AB Testing |
| xz-group/AdverseDrive |
16 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Attacking Vision based Perception in End-to-end Autonomous Driving Models |
| kanshichao/CBML |
9 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
|
Python |
| Contrastive Bayesian Analysis for Deep Metric Learning and an Integrated Deep Metric Learning Toolbox Based on Pytorch |
| niklastoe/classifier_metric_uncertainty |
5 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Bayesian method to determine the metric uncertainty for (binary) classifiers |
