Nancy0414's repositories
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
Code-SBLEST
Matlab code for SBLEST algorithm
pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
memmpy
Software Package for the Maximum Entropy on the Mean (MEM) Method
deep-image-prior
Image restoration with neural networks but without learning.
PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
SDENet-UQ-ESL
SDENet as Uncertainty Quantification Method for EEG Source Localization
ElectrophysiologyData
A list of openly available datasets in (mostly human) electrophysiology.
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
ISTA-Net-PyTorch
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)
cmne
Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks
ds003505
VEPCON datasets
TDBRAIN
Code used in the paper The Two Decades Brainclinics Research Archive for Insights in Neurophysiology (TDBRAIN) database
bayesian-coresets-optimization
Bayesian Coresets Construction with Accelerated Iterative Hard Thresholding (A-IHT).
FAST-IRES
An Electromagnetic Source Imaging Algorithm for Estimating Extended Brain Sources and Large-scale Networks
ds003474
EEG: Probabilistic Selection and Depression
ds003478
EEG: Depression rest
ERBCPSI
The code for "EEG-based Emotion Recognition Using Convolutional Neural Network with Functional Connections"
distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
Deep-Unfolding-Weighted-L1-Minimization
An implement of paper " Deep Unfolding with Weighted ℓ1 Minimization for Compressive Sensing"
compsensing_dip
Compressed sensing with deep image prior algorithm
RoBO
RoBO: a Robust Bayesian Optimization framework
ELM-pytorch
Extreme Learning Machine implemented in Pytorch
sista-rnn
Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding