Statsmodels: statistical modeling and econometrics in Python

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

Certifiable Outlier-Robust Geometric Perception

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

Code for "EPOS: Estimating 6D Pose of Objects with Symmetries", CVPR 2020.

This library is an implementation of the algorithm described in Distributed Trajectory Estimation with Privacy and Communication Constraints: a Two-Stage Distributed Gauss-Seidel Approach.

Solve many kinds of least-squares and matrix-recovery problems

Robust estimations from distribution structures: Mean.

Robust estimations from distribution structures: Invariant moments.

Mean and Covariance Matrix Estimation under Heavy Tails

(ICML 2020) Message Passing Least Squares Algorithm for Rotation Averaging

Robust estimations from distribution structures: Central moments.

This is an open source library that can be used to autofocus telescopes. It uses a novel algorithm based on robust statistics. For a preprint, see https://arxiv.org/abs/2201.12466 .The library is currently used in Astro Photography tool (APT) https://www.astrophotography.app/

MATLAB demo for the paper "Non-smooth M-Estimator for Maximum Consensus Estimation"

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

Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022

A new take on EEG sleep spindles detection exploiting a generative model (dynamic bayesian network) to characterize reoccurring dynamical regimes of single-channel EEG.

multivariate cauchy estimator - a new and robust bayesian state estimation algorithm

A Robust Dynamic Multi-Modal Data Fusion Algorithm

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.