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antoinecollas.github.io

benchmark_rsfmri_prediction

Minimal scripts available for predictions on multiple datasets

benchopt

Making your benchmark of optimization algorithms simple and open

camcan-meg

Jupyter notebook to analyse MEG signals with passive stimuli (visual and auditory) from the CAMCAN dataset.

cap2018_competition

capsule_networks

Implementation of Dynamic Routing Between Capsules (http://papers.nips.cc/paper/6975-dynamic-routing-between-capsules.pdf)

coffeine

Covariance Data Frames for Predictive M/EEG Pipelines

configuration

cosmiq_sn6_baseline

Baseline algorithm for the SpaceNet 6 Challenge

deep_q_learning

Implementation of "Human-level control through deep reinforcement learning" (Mnih et al.): https://www.nature.com/articles/nature14236

entropic_wasserstein_component_analysis

Python of "Entropic Wasserstein Component Analysis" paper

fmri_alignment_benchmark

BenchOpt benchmark for fMRI alignment

fugw

Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain data (fMRI)

gendered-pronoun-resolution

https://www.kaggle.com/c/gendered-pronoun-resolution

geomstats

Computations and statistics on manifolds with geometric structures.

kaggle_house_prices

https://www.kaggle.com/c/house-prices-advanced-regression-techniques

low-rank-statistical-testing

mnist

mt10_cryptography

This reposery is part of a course "STRUCTURE,FORMAL CALCULUS AND ALGORITHMS".

optim_compound

pot

POT : Python Optimal Transport

pycovariance

Parameter estimation and clustering/classification using Riemannian geometry.

pymanopt

Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

pyriemann

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

react-todo-list

recursion-cellular-image-classification

https://www.kaggle.com/c/recursion-cellular-image-classification/

robust_metric_learning

Robust Geometric Metric Learning - RGML

scm_vs_tyler_plot

skada

Domain adaptation toolbox compatible with scikit-learn

skada-bench

Domain Adaptation benchmark