Statsmodels: statistical modeling and econometrics in Python

EPOS: Estimating 6D Pose of Objects with Symmetries, CVPR 2020

Code/Examples for A New Approach to Robust Estimation of Parametric Structures

FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.

FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.

This project implements a planar monocular Simultaneous Localization and Mapping (SLAM) system for a differential drive robot equipped with a single camera.