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CNRS
- Compiegne (France)
- https://www.hds.utc.fr/~sdesterc/dokuwiki/doku.php
Stars
This repository contains research about the use of Venn Abers predictors to learn from uncertain data in a context of self learning.
CARS is a dedicated and open source 3D tool to produce Digital Surface Models from satellite imaging by photogrammetry.
A stereo matching framework that will help you design your stereo matching pipeline with state of the art performances.
Code for paper "Copula-based conformal prediction for Multi-Target Regression"
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
This repository contains GNU Octave or Matlab code for the combination of belief functions using distance based operators
A python imprecise probability classififer library
sdestercke / dataformat
Forked from mikiobraun/dataformatCode for reading and writing machine learning data formats, in particular ARFF
R Package to handle generic belief functions (on finite sets)
Python classes (future module) to handle probability intervals
A Network Analysis of the Imprecise Probability Community based on ISIPTA Electronic Proceedings
Python software for accept/reject statement-based uncertainty modeling
A Python module for working with imprecise probabilities.
Code for reading and writing machine learning data formats, in particular ARFF