Topic: "robust-estimators"
danini/graph-cut-ransac
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
Language: C++ - Size: 251 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 443 - Forks: 94
hippke/wotan
Automagically remove trends from time-series data
Language: Jupyter Notebook - Size: 3.56 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 139 - Forks: 21
FilippoBovo/robustats
Robustats is a Python library for high-performance computation of robust statistical estimators.
Language: C - Size: 48.8 KB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 50 - Forks: 10
yqzhong7/AIPW
R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect
Language: R - Size: 3.84 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 24 - Forks: 7
