plcrodrigues

HNPE

Repository with the code of "HNPE: Leveraging Global Parameters for Neural Posterior Estimation"

means-field-classifier

Repository for the paper "The Riemannian Minimum Distance to Means Field Classifier"

PhD-Code

This repository contains scripts for reproducing some of the examples in my Ph.D. manuscript

py.ALPHA.EEG.2017-GIPSA

Codes for working with the "EEG Alpha Waves Dataset" developed at the GIPSA-lab

py.BI.EEG.2013-GIPSA

Code for working with EEG recordings of a visual P300 Brain-Computer Interface

py.BI.EEG.2015a-GIPSA

Code for working with EEG recordings of a visual P300 Brain-Computer Interface

py.BI.EEG.2015b-GIPSA

Code for working with EEG recordings of a visual P300 Brain-Computer Interface

py.VR.EEG.2018-GIPSA

Codes for working with the "EEG-based BCI experiment in Virtual Reality and on a Personal Computer" dataset developed at the GIPSA-lab

RPA

Python code for the Riemannian Procrustes Analysis (RPA) method

Workshop-MOABB-BCI-Graz-2019

This is the repository with the materials for the Graz BCI 2019 workshop : "Benchmarking BCI classification methods: a hands-on introduction"

plcrodrigues/RPA

Python code for the Riemannian Procrustes Analysis (RPA) method

plcrodrigues/py.ALPHA.EEG.2017-GIPSA

Codes for working with the "EEG Alpha Waves Dataset" developed at the GIPSA-lab

plcrodrigues/HNPE

Repository with the code of "HNPE: Leveraging Global Parameters for Neural Posterior Estimation"

plcrodrigues/py.BI.EEG.2013-GIPSA

Code for working with EEG recordings of a visual P300 Brain-Computer Interface

plcrodrigues/PhD-Code

This repository contains scripts for reproducing some of the examples in my Ph.D. manuscript

plcrodrigues/py.BI.EEG.2015a-GIPSA

Code for working with EEG recordings of a visual P300 Brain-Computer Interface

plcrodrigues/py.BI.EEG.2015b-GIPSA

Code for working with EEG recordings of a visual P300 Brain-Computer Interface

plcrodrigues/py.VR.EEG.2018-GIPSA

Codes for working with the "EEG-based BCI experiment in Virtual Reality and on a Personal Computer" dataset developed at the GIPSA-lab

plcrodrigues/py.BI.EEG.2012-GIPSA

Code for working with EEG recordings of a visual P300 Brain-Computer Interface

plcrodrigues/py.BI.EEG.2014a-GIPSA

Code for working with EEG recordings of a visual P300 Brain-Computer Interface

plcrodrigues/py.PHMDML.EEG.2017-GIPSA

Codes for working with the "Passive Head-Mounted Display Music-Listening EEG" developed at the GIPSA-lab

plcrodrigues/py.BI.EEG.2014b-GIPSA

Code for working with EEG recordings of a visual P300 Brain-Computer Interface

plcrodrigues/hnn-core

Simulation and optimization of neural circuits for MEG/EEG source estimates

plcrodrigues/braindecode

Deep learning software to decode EEG or MEG signals

plcrodrigues/datacamp-master

Datacamp class for master student - 1 week

plcrodrigues/hierarchical-inference

Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.

plcrodrigues/lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

plcrodrigues/lfi

Neural likelihood-free methods in PyTorch.

plcrodrigues/moabb

Mother of All BCI Benchmarks

plcrodrigues/momentchi2py

A Python implementation of three methods for computing the cumulative distribution function of a weighted sum of chi-squared random variables.

plcrodrigues/NeuralLikelihoodFreeInference.github.io

Build a Jekyll blog in minutes, without touching the command line.

plcrodrigues/nflows

Normalizing flows in PyTorch

plcrodrigues/plcrodrigues.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

plcrodrigues/pyRiemann

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

plcrodrigues/sbi

Simulation-based inference in PyTorch

plcrodrigues/sbibm

Simulation-based inference benchmark

plcrodrigues/stage1A

plcrodrigues/stroke_lesions

plcrodrigues/TSMNet

Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

plcrodrigues/zuko

Normalizing flows in PyTorch