Pinned

1. glest glest Public

   Package to estimate the grouping loss of a classifier, based on the paper "Beyond calibration: estimating the grouping loss of modern neural nerworks".

   Python 5

2. beyond_calibration beyond_calibration Public

   Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.

   Python 9

3. benchmark_mv_approaches benchmark_mv_approaches Public

   Code of the experiments ran in our GigaScience article: "Benchmarking missing-values approaches for predictive models on health databases".

   Python 5 2

4. meta_analysis_notebook meta_analysis_notebook Public

   This notebook gathers and explains some well known neuroimaging meta-analysis techniques, discusses their limitations and applies them to real fMRI data.

   Jupyter Notebook 7 6

5. StereoMatching StereoMatching Public

   Disparity calculation using Loopy Belief Propagation.

   Python 10 2

6. MVA_OT_Project MVA_OT_Project Public

   Optimal transport project as part of Gabriel Peyré's course.

   Python