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amsi-pipeline

bayesian-coresets-optimization

Bayesian Coresets Construction with Accelerated Iterative Hard Thresholding (A-IHT).

cmne

Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks

code-sblest

Matlab code for SBLEST algorithm

compsensing_dip

Compressed sensing with deep image prior algorithm

deep-image-prior

Image restoration with neural networks but without learning.

deep-unfolding-weighted-l1-minimization

An implement of paper " Deep Unfolding with Weighted ℓ1 Minimization for Compressive Sensing"

deepsif

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

ds003474

EEG: Probabilistic Selection and Depression

ds003478

EEG: Depression rest

ds003505

VEPCON datasets

electrophysiologydata

A list of openly available datasets in (mostly human) electrophysiology.

elm-pytorch

Extreme Learning Machine implemented in Pytorch

erbcpsi

The code for "EEG-based Emotion Recognition Using Convolutional Neural Network with Functional Connections"

esi-dae

esinet

EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code

fast-ires

An Electromagnetic Source Imaging Algorithm for Estimating Extended Brain Sources and Large-scale Networks

hetemotionnet

ista-net-pytorch

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)

memmpy

Software Package for the Maximum Entropy on the Mean (MEM) Method

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

robo

RoBO: a Robust Bayesian Optimization framework

sdenet-uq-esl

SDENet as Uncertainty Quantification Method for EEG Source Localization

sincmsnet

sista-rnn

Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

tdbrain

Code used in the paper The Two Decades Brainclinics Research Archive for Insights in Neurophysiology (TDBRAIN) database

unrolled-optimization-with-deep-priors