Pinned Repositories
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's Repositories
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